Triple
T32635381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawab-e-Shikwa |
E834330
|
entity |
| Predicate | religiousFigureReferenced |
P70669
|
FINISHED |
| Object | Prophet Muhammad |
—
|
NE NERFINISHED |
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: Prophet Muhammad | Statement: [Jawab-e-Shikwa, religiousFigureReferenced, Prophet Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousFigureReferenced Context triple: [Jawab-e-Shikwa, religiousFigureReferenced, Prophet Muhammad]
-
A.
religiousFigure
Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
-
B.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
C.
veneratedFigureMentioned
chosen
Indicates that a person who is highly respected or revered is explicitly referenced or mentioned in relation to another entity or context.
-
D.
religiousFigureBornHere
Indicates that a notable religious figure was born at this location.
-
E.
religiousTextMentionedIn
Indicates that a religious text is referenced, cited, or discussed within another work or source.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 1:07 a.m.