Triple
T14284550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juz Amma |
E354133
|
entity |
| Predicate | numberOfSurahs |
P113606
|
FINISHED |
| Object | 37 |
—
|
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: 37 | Statement: [Juz Amma, numberOfSurahs, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSurahs Context triple: [Juz Amma, numberOfSurahs, 37]
-
A.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
B.
quranSurahNumber
Indicates the numerical position or identifier assigned to a specific surah (chapter) within the Quran.
-
C.
includeSurah
Indicates that one entity (such as a collection, book, or document) contains or incorporates a specific Surah as part of its contents.
-
D.
quranicSurahMention
Indicates that a specific Quranic surah is mentioned, referenced, or cited in relation to another entity or context.
-
E.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.