Triple
T38277707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Muʿallaqāt |
E1022004
|
entity |
| Predicate | extendedCanonSize |
P190600
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Al-Muʿallaqāt, extendedCanonSize, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendedCanonSize Context triple: [Al-Muʿallaqāt, extendedCanonSize, 10]
-
A.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
-
B.
extendedIn
Indicates that one entity continues, prolongs, or expands the scope, duration, or range of another entity.
-
C.
hasAtLargeFormatSince
Indicates that an entity has been available or operating in a large-format version starting from a specified point in time.
-
D.
viewOnCanon
Indicates that one entity expresses or embodies a particular stance, interpretation, or judgment about what is considered canonical within a given context.
-
E.
editionSize
Indicates the total number of copies or instances produced in a particular edition of something.
- 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_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.