Triple
T6532094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night of Power |
E152253
|
entity |
| Predicate | hasQuranicTheme |
P24743
|
FINISHED |
| Object | descent of angels |
—
|
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: descent of angels | Statement: [Night of Power, hasQuranicTheme, descent of angels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuranicTheme Context triple: [Night of Power, hasQuranicTheme, descent of angels]
-
A.
hasReligiousTheme
chosen
Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
-
B.
containsMadaniVerses
Indicates that the subject includes or is composed of verses classified as Madani (revealed in Medina).
-
C.
quranicStatus
Indicates the status or classification of something in relation to its recognition, treatment, or role within the Quran.
-
D.
containsMakkiVerses
Indicates that something (typically a chapter or section of a text) includes one or more verses that are classified as Makki (revealed in Mecca).
-
E.
hasVersesBy
Indicates a relationship where a work, such as a song or poem, contains verses authored or written by a specific creator.
- 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_69c6adbe168881908ffefc4962e2893d |
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.