Triple
T15381312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An-Nasr |
E367807
|
entity |
| Predicate | numberOfAyat |
P87842
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [An-Nasr, numberOfAyat, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAyat Context triple: [An-Nasr, numberOfAyat, 3]
-
A.
numberOfSurahs
Indicates the total count of surahs associated with a given entity (such as a text, section, or collection).
-
B.
hasAyahCount
chosen
Indicates that an entity (such as a surah or chapter) is associated with a specific number of ayahs (verses).
-
C.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
D.
containsAyatAlKursiVerseNumber
Indicates that the referenced text or passage includes the specific verse number corresponding to Ayat al-Kursi.
-
E.
quranManzil
Indicates a relationship where a portion of the Quran is assigned or associated as a specific “manzil” (section) for recitation or division purposes.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.