Triple
T652666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Journey of Muhammad |
E11377
|
entity |
| Predicate | quranicVerseMention |
P3661
|
FINISHED |
| Object | Qur'an 17:1 |
—
|
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: Qur'an 17:1 | Statement: [Night Journey of Muhammad, quranicVerseMention, Qur'an 17:1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicVerseMention Context triple: [Night Journey of Muhammad, quranicVerseMention, Qur'an 17:1]
-
A.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
B.
keyVerse
Indicates that one verse is designated as the central or most thematically important verse in relation to a text, passage, or concept.
-
C.
scriptureAllusion
Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
-
D.
scripturalReference
chosen
Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
-
E.
recognizesScripturesFrom
Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.