---
title: Which of the following most accurately characterises a story mountain? — Planning before writing · tree and pragmatics
description: Which of the following most accurately characterises a story mountain? Exam question 2 of lesson 39 «Planning before writing» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/english/39-planning-before-writing/e2/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [English](https://md.mova.elamur.ai/free/en/corpora/questions/english/) / [Planning before writing](https://md.mova.elamur.ai/free/en/corpora/questions/english/39-planning-before-writing/) / e2

# Exam question 2 · Planning before writing

<!-- .ven lang=en -->
Which of the following most accurately characterises a story mountain?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **What happens:** follow, characteris · **To what, where:** story mountain

<!-- .vabout -->
This is exam question 2 of lesson 39 «Planning before writing» of the English course of Mova's primary school, asked in stiff, formal language. 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/english/39-planning-before-writing/#e2).

## The question {#question}

```conllu
# sent_id = question:english:39-planning-before-writing:e2:1
# text = Which of the following most accurately characterises a story mountain?
1	Which	which	PRON	WDT	PronType=Rel	7	nsubj	_	_
2	of	of	SCONJ	IN	_	7	mark	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
4	following	follow	VERB	VBG	VerbForm=Ger	7	csubj	_	_
5	most	most	ADV	RBS	Degree=Sup	6	advmod	_	_
6	accurately	accurately	ADV	RB	_	7	advmod	_	_
7	characterises	characteris	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
9	story	story	NOUN	NN	Number=Sing	10	compound	_	_
10	mountain	mountain	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
11	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **follow** | gerund |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 2 | **characteris** | present |  | a story mountain |  |  |  | accurately *property* | tree rules |

<!-- .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.

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Opening, build-up, problem, resolution and ending

```conllu
# sent_id = question:english:39-planning-before-writing:e2:o1:1
# text = Opening, build-up, problem, resolution and ending
1	Opening	open	VERB	VBG	Tense=Pres|VerbForm=Part	3	advcl	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	build	build	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	SpaceAfter=No
4	-	-	PUNCT	HYPH	_	5	punct	_	SpaceAfter=No
5	up	up	ADP	RP	_	3	compound:prt	_	SpaceAfter=No
6	,	,	PUNCT	,	_	7	punct	_	_
7	problem	problem	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	9	punct	_	_
9	resolution	resolution	NOUN	NN	Number=Sing	7	conj	_	_
10	and	and	CCONJ	CC	_	11	cc	_	_
11	ending	ending	NOUN	NN	Number=Sing	7	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **open** | gerund | you *not said here* |  |  |  |  |  | vn spatial\_configuration-47.6-1 «NP V»: agent=Theme |
| 2 | **build up** | imperative | you *not said here* | problem and resolution and ending |  |  |  |  | vn caused\_calibratable\_cos-45.6.2-1 «NP V ADV-Middle»: agent=Patient |

### Option 2 {#o2}

<!-- .ven lang=en -->
A diagram of the rhymes in a poem

```conllu
# sent_id = question:english:39-planning-before-writing:e2:o2:1
# text = A diagram of the rhymes in a poem
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	diagram	diagram	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	5	case	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	rhymes	rhyme	NOUN	NNS	Number=Plur	2	nmod	_	_
6	in	in	ADP	IN	_	8	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	8	det	_	_
8	poem	poem	NOUN	NN	Number=Sing	5	nmod	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 3 {#o3}

<!-- .ven lang=en -->
A list of facts arranged in alphabetical order

```conllu
# sent_id = question:english:39-planning-before-writing:e2:o3:1
# text = A list of facts arranged in alphabetical order
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	list	list	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	facts	fact	NOUN	NNS	Number=Plur	2	nmod	_	_
5	arranged	arrange	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	acl	_	_
6	in	in	ADP	IN	_	8	case	_	_
7	alphabetical	alphabetical	ADJ	JJ	Degree=Pos	8	amod	_	_
8	order	order	NOUN	NN	Number=Sing	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **arrange** | participle |  | facts *not said here* |  | alphabetical order |  |  | vn put-9.1 «NP V NP PP.destination»: agent=Agent in order=Destination |
| 2 | **list** |  |  | facts |  |  |  |  | nom list «communication transitive»: of=patient |

### Option 4 {#o4}

<!-- .ven lang=en -->
A table of tenses for each verb

```conllu
# sent_id = question:english:39-planning-before-writing:e2:o4:1
# text = A table of tenses for each verb
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	table	table	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	tenses	tense	NOUN	NNS	Number=Plur	2	nmod	_	_
5	for	for	ADP	IN	_	7	case	_	_
6	each	each	DET	DT	PronType=Tot	7	det	_	_
7	verb	verb	NOUN	NN	Number=Sing	2	nmod	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

<!-- div src -->

**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 -->

<!-- pn -->
- ← previous: [Planning before writing, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/english/39-planning-before-writing/e1/)
- next →: [Planning before writing, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/english/39-planning-before-writing/e3/)
- ↑ back to [Planning before writing](https://md.mova.elamur.ai/free/en/corpora/questions/english/39-planning-before-writing/)