Triple
T1433486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muslims |
E30503
|
entity |
| Predicate | religiousLeadership |
P2330
|
FINISHED |
| Object | imams |
—
|
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: imams | Statement: [Muslims, religiousLeadership, imams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousLeadership Context triple: [Muslims, religiousLeadership, imams]
-
A.
religiousAdministration
Indicates that one entity holds authority or responsibility for managing, overseeing, or governing the religious affairs, practices, or institutions of another entity.
-
B.
clergyEducation
Indicates that one entity has received formal religious or theological training or education qualifying them for clergy or ministerial roles in relation to another entity or institution.
-
C.
religiousFunction
chosen
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
D.
religiousAuthorityStructure
Indicates the organizational or hierarchical structure through which religious authority and decision-making are distributed and exercised.
-
E.
clergyPractice
Indicates that a member of the clergy engages in, performs, or follows a particular religious practice or ritual.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.