Triple
T38277706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Muʿallaqāt |
E1022004
|
entity |
| Predicate | traditionalCanonSize |
P201506
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Al-Muʿallaqāt, traditionalCanonSize, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalCanonSize Context triple: [Al-Muʿallaqāt, traditionalCanonSize, 7]
-
A.
extendedCanonSize
Indicates that the size or scope of a canon has been increased beyond its original or standard extent.
-
B.
editionSize
Indicates the total number of copies or instances produced in a particular edition of something.
-
C.
canonType
Indicates the classification of something according to its status or role within an official or accepted canon.
-
D.
standardRatio
Indicates that two quantities or measurements are related by a fixed, commonly accepted proportional relationship.
-
E.
typicalCalendarSize
Indicates the usual or standard physical dimensions associated with a given type of calendar.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
| PDg | Predicate description generation | batch_69fffbb513c881909063ecf12467f4a6 |
completed | May 10, 2026, 3:29 a.m. |
Created at: May 3, 2026, 4:30 p.m.