Triple
T24474127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terengganu Sultanate |
E617181
|
entity |
| Predicate | hasReligionHead |
P17013
|
FINISHED |
| Object | Sultan as head of Islam in Terengganu |
—
|
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: Sultan as head of Islam in Terengganu | Statement: [Terengganu Sultanate, hasReligionHead, Sultan as head of Islam in Terengganu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionHead Context triple: [Terengganu Sultanate, hasReligionHead, Sultan as head of Islam in Terengganu]
-
A.
headOfReligion
Indicates that one entity serves as the supreme leader or highest authority of a particular religion or religious organization.
-
B.
hasDenominationalHead
chosen
Indicates that an organization or religious body is led or overseen by a specific denominational head or leader.
-
C.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
D.
hasReligiousFounderAssociated
Indicates that an entity is associated with a specific religious founder, typically through origin, dedication, or foundational influence.
-
E.
hasFounderOfReligion
Indicates that an entity is the person who founded or established a particular religion.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299457ce081909e8d95fd482928dc |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.