---
title: In Little Red Riding Hood the wolf eats grandma. What is true about… — Wolves in Yellowstone, beavers in Brit… · tree and pragmatics
description: In Little Red Riding Hood the wolf eats grandma. What is true about real wolves? Test 1 · ★ of lesson 283 «Wolves in Yellowstone, beavers in Britain and bringing nature back» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; M
---

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# Test 1 · ★ · Wolves in Yellowstone, beavers in Britain and bringing nat…

<!-- .ven lang=en -->
In Little Red Riding Hood the wolf eats grandma. What is true about real wolves?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** wolf · **What happens:** eat, be · **To what, where:** grandma, Little Red Riding Hood

<!-- .vabout -->
This is test 1 · ★ of lesson 283 «Wolves in Yellowstone, beavers in Britain and bringing nature back» of the biology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/biology/283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back/#t1).

## The question {#question}

<!-- .note -->
*Sentence 1:* In Little Red Riding Hood the wolf eats grandma.

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t1:1
# text = In Little Red Riding Hood the wolf eats grandma.
1	In	in	ADP	IN	_	5	case	_	_
2	Little	Little	ADJ	NNP	Degree=Pos	5	amod	_	_
3	Red	Red	ADJ	NNP	Degree=Pos	5	amod	_	_
4	Riding	Riding	PROPN	NNP	Number=Sing	5	compound	_	_
5	Hood	Hood	PROPN	NNP	Number=Sing	8	obl	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	wolf	wolf	NOUN	NN	Number=Sing	8	nsubj	_	_
8	eats	eat	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	grandma	grandma	NOUN	NN	Number=Sing	8	obj	_	SpaceAfter=No
10	.	.	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **eat** | present | the wolf | grandma |  | Little Red Riding Hood |  |  | vn eat-39.1-1 «NP V NP»: agent=Agent grandma=Patient |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

<!-- .note -->
*Sentence 2:* What is true about real wolves?

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t1:2
# text = What is true about real wolves?
1	What	what	PRON	WP	PronType=Int	3	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	true	true	ADJ	JJ	Degree=Pos	0	root	_	_
4	about	about	ADP	IN	_	6	case	_	_
5	real	real	ADJ	JJ	Degree=Pos	6	amod	_	_
6	wolves	wolf	NOUN	NNS	Number=Plur	3	obl	_	SpaceAfter=No
7	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present |  |  |  |  |  | about real wolves; true *property* | tree rules |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Wolves often dress up as people

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t1:o1:1
# text = Wolves often dress up as people
1	Wolves	wolf	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	often	often	ADV	RB	_	3	advmod	_	_
3	dress	dress	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	up	up	ADP	RP	_	3	compound:prt	_	_
5	as	as	ADP	IN	_	6	case	_	_
6	people	people	NOUN	NNS	Number=Plur	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **dress up** | present | Wolves |  |  |  |  | as people; often *property* | vn dress-41.1.1-1-1 «NP V»: agent=Agent |

### Option 2 · ← Mova's choice · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Wild wolves are shy and attacks on people are very rare

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t1:o2:1
# text = Wild wolves are shy and attacks on people are very rare
1	Wild	wild	ADJ	JJ	Degree=Pos	2	amod	_	_
2	wolves	wolf	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	shy	shy	ADJ	JJ	Degree=Pos	0	root	_	_
5	and	and	CCONJ	CC	_	11	cc	_	_
6	attacks	attack	NOUN	NNS	Number=Plur	11	nsubj	_	_
7	on	on	ADP	IN	_	8	case	_	_
8	people	people	NOUN	NNS	Number=Plur	6	nmod	_	_
9	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	11	cop	_	_
10	very	very	ADV	RB	_	11	advmod	_	_
11	rare	rare	ADJ	JJ	Degree=Pos	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Wild wolves |  |  |  |  | shy *property* | tree rules |
| 2 | **is** | present | attacks on people |  |  |  |  | rare *property* | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
Wolves eat people whole

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t1:o3:1
# text = Wolves eat people whole
1	Wolves	wolf	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	eat	eat	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	people	people	NOUN	NNS	Number=Plur	2	obj	_	_
4	whole	whole	ADJ	JJ	Degree=Pos	2	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **eat** | present | Wolves | people |  |  |  | whole *property* | vn eat-39.1-1 «NP V NP»: agent=Agent people=Patient |

### Option 4 {#o4}

<!-- .ven lang=en -->
Wolves hunt grandmothers in forests, just as the old stories say

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t1:o4:1
# text = Wolves hunt grandmothers in forests, just as the old stories say
1	Wolves	wolf	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	hunt	hunt	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	grandmothers	grandmother	NOUN	NNS	Number=Plur	2	obj	_	_
4	in	in	ADP	IN	_	5	case	_	_
5	forests	forest	NOUN	NNS	Number=Plur	2	obl	_	SpaceAfter=No
6	,	,	PUNCT	,	_	12	punct	_	_
7	just	just	ADV	RB	_	12	advmod	_	_
8	as	as	SCONJ	IN	_	12	mark	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
10	old	old	ADJ	JJ	Degree=Pos	11	amod	_	_
11	stories	story	NOUN	NNS	Number=Plur	12	nsubj	_	_
12	say	say	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **hunt** | present | Wolves | grandmothers |  | forests |  |  | vn hunt-35.1 «NP V NP PP.location»: agent=Agent grandmother=Theme in forest=Location |
| 2 | **say** *speech: assert* | present | the old stories |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

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- ← previous: [Comeback stories: bald eagles, humpbac…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/biology/282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo/e4/)
- next →: [Wolves in Yellowstone, beavers in Brit…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/biology/283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back/t2/)
- ↑ back to [Wolves in Yellowstone, beavers in Britain and bringing nature back](https://md.mova.elamur.ai/free/en/corpora/questions/biology/283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back/)