Triple
T20930961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic mutaqārib metre |
E515467
|
entity |
| Predicate | hasVerseDivision |
P141727
|
FINISHED |
| Object | two equal hemistichs (ṣadr and ʿajuz) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: two equal hemistichs (ṣadr and ʿajuz) | Statement: [Arabic mutaqārib metre, hasVerseDivision, two equal hemistichs (ṣadr and ʿajuz)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerseDivision Context triple: [Arabic mutaqārib metre, hasVerseDivision, two equal hemistichs (ṣadr and ʿajuz)]
-
A.
hasVerseStyle
Indicates that one entity is characterized by, or presented in, the verse style specified by another entity.
-
B.
containsVerse
Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
-
C.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
D.
hasVerseRange
Indicates a relationship where a text or passage is associated with a specific contiguous range of verses it spans.
-
E.
hasVersesIn
Indicates that one entity (typically a text, chapter, or section) contains or is composed of verses found within another entity (such as a book, collection, or scripture).
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6557e4881909ce932c3f538304a |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.