Triple
T2905656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Infitar |
E62755
|
entity |
| Predicate | lengthCategory |
P26903
|
FINISHED |
| Object | short surah |
—
|
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: short surah | Statement: [Surah Al-Infitar, lengthCategory, short surah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthCategory Context triple: [Surah Al-Infitar, lengthCategory, short surah]
-
A.
hasNameLengthCategory
chosen
Indicates that an entity is associated with a classification describing the length of its name (e.g., short, medium, long).
-
B.
hasCategoryLengthRestriction
Indicates that there is a constraint on the allowable length of a category, such as its name, identifier, or structural size.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
capacityCategory
Indicates the classification of something based on the amount or volume it can hold, handle, or accommodate.
-
E.
lengthVariesBy
Indicates that the length of one entity changes or differs depending on another specified factor or condition.
- F. None of above.
Provenance (3 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cee7988190875665145c3cd605 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.