Triple
T6531334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Table |
E152236
|
entity |
| Predicate | hasAyatCount |
P8730
|
FINISHED |
| Object | 120 |
—
|
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: 120 | Statement: [The Table, hasAyatCount, 120]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAyatCount Context triple: [The Table, hasAyatCount, 120]
-
A.
hasVerseCount
chosen
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
B.
hasVersesBy
Indicates a relationship where a work, such as a song or poem, contains verses authored or written by a specific creator.
-
C.
hasMultipleVerses
Indicates that something, typically a song, poem, or text, consists of more than one verse.
-
D.
hasSyllableCount
Indicates that one entity (typically a word or phrase) possesses a specific number of syllables given by the other entity.
-
E.
containsBasmalah
Indicates that something (such as a text, document, or verse) includes the Basmalah phrase ("In the name of God, the Most Gracious, the Most Merciful") within it.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adbcf820819097ca33a5fc14fd64 |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.