Triple
T7328208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As-Sab‘ al-Mathani |
E168927
|
entity |
| Predicate | associatedWithSurahNumber |
P26928
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [As-Sab‘ al-Mathani, associatedWithSurahNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSurahNumber Context triple: [As-Sab‘ al-Mathani, associatedWithSurahNumber, 1]
-
A.
quranicSurahMention
Indicates that a specific Quranic surah is mentioned, referenced, or cited in relation to another entity or context.
-
B.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
C.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
D.
followsSurah
Indicates that one surah directly comes after or is ordered immediately following another surah in a specified sequence.
-
E.
quranSurahNumber
chosen
Indicates the numerical position or identifier assigned to a specific surah (chapter) within the Quran.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a879b88190bef0fb6cbae411ff |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.