---
title: Was Nur Mahomed knackered when he got to the town at noon? — Tales of the Punjab, Nur Mahomed and t… · tree and pragmatics
description: Was Nur Mahomed knackered when he got to the town at noon? Test 3 · ★ of lesson 1255 «Tales of the Punjab, Nur Mahomed and the Princess, part 56: the princess swaps a letter and a wedding is ordered» of the books course of Mova's primary school, with the dependency tree and pragmatics of the questio
---

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# Test 3 · ★ · Tales of the Punjab, Nur Mahomed and the Princess, part 56…

<!-- .ven lang=en -->
Was Nur Mahomed knackered when he got to the town at noon?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** Nur · **What happens:** be, knacker, get · **To what, where:** Nur

<!-- .vabout -->
This is test 3 · ★ of lesson 1255 «Tales of the Punjab, Nur Mahomed and the Princess, part 56: the princess swaps a letter and a wedding is ordered» of the books 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/books/1255-pg3282-part56/#t3).

## The question {#question}

```conllu
# sent_id = question:books:1255-pg3282-part56:t3:1
# text = Was Nur Mahomed knackered when he got to the town at noon?
1	Was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	cop	_	_
2	Nur	Nur	PROPN	NNP	Number=Sing	4	nsubj	_	_
3	Mahomed	Mahomed	PROPN	NNP	Number=Sing	2	flat	_	_
4	knackered	knacker	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	when	when	ADV	WRB	PronType=Int	7	advmod	_	_
6	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	7	nsubj	_	_
7	got	get	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	advcl	_	_
8	to	to	ADP	IN	_	10	case	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	town	town	NOUN	NN	Number=Sing	7	obl	_	_
11	at	at	ADP	IN	_	12	case	_	_
12	noon	noon	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
13	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | past |  | Nur |  |  |  |  | tree rules |
| 2 | **knacker** | past | Nur |  |  |  |  |  | tree rules |
| 3 | **get** | past | Nur |  |  |  | noon | to the town *result* | vn convert-26.6.2 «NP V S\_ING»: agent=Patient to town=Result |

<!-- .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 -->
Yeah, stiff, dry and thirsty

```conllu
# sent_id = question:books:1255-pg3282-part56:t3:o1:1
# text = Yeah, stiff, dry and thirsty
1	Yeah	yeah	INTJ	UH	_	3	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	3	punct	_	_
3	stiff	stiff	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
4	,	,	PUNCT	,	_	5	punct	_	_
5	dry	dry	ADJ	JJ	Degree=Pos	3	conj	_	_
6	and	and	CCONJ	CC	_	7	cc	_	_
7	thirsty	thirsty	ADJ	JJ	Degree=Pos	3	conj	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
Nah, not at all, rested

```conllu
# sent_id = question:books:1255-pg3282-part56:t3:o2:1
# text = Nah, not at all, rested
1	Nah	nah	INTJ	UH	_	7	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	5	punct	_	_
3	not	not	PART	RB	Polarity=Neg	5	advmod	_	_
4	at	at	ADP	IN	_	5	case	_	_
5	all	all	DET	DT	PronType=Tot	1	conj	_	SpaceAfter=No
6	,	,	PUNCT	,	_	1	punct	_	_
7	rested	rest	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **rest** | participle |  |  |  |  |  |  | vn spatial\_configuration-47.6-1 «NP V»: agent=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
Yeah, tired

```conllu
# sent_id = question:books:1255-pg3282-part56:t3:o3:1
# text = Yeah, tired
1	Yeah	yeah	INTJ	UH	_	3	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	tired	tired	ADJ	JJ	Degree=Pos	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Yeah, dusty and exhausted

```conllu
# sent_id = question:books:1255-pg3282-part56:t3:o4:1
# text = Yeah, dusty and exhausted
1	Yeah	yeah	INTJ	UH	_	3	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	3	punct	_	_
3	dusty	dusty	ADJ	JJ	Degree=Pos	0	root	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	exhausted	exhaust	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **exhaust** | participle |  |  |  |  |  |  | vn amuse-31.1 «NP V ADV-Middle»: agent=Experiencer |

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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.

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- ← previous: [Tales of the Punjab, Nur Mahomed and t…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/books/1255-pg3282-part56/t2/)
- next →: [Tales of the Punjab, Nur Mahomed and t…, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/books/1255-pg3282-part56/t4/)
- ↑ back to [Tales of the Punjab, Nur Mahomed and the Princess, part 56: the princess swaps a letter and a wedding is ordered](https://md.mova.elamur.ai/free/en/corpora/questions/books/1255-pg3282-part56/)

