Triple
T33858230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duli Yang Maha Mulia Sultan Terengganu |
E867846
|
entity |
| Predicate | isSpecificFormOf |
P129867
|
FINISHED |
| Object | Duli Yang Maha Mulia |
—
|
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: Duli Yang Maha Mulia | Statement: [Duli Yang Maha Mulia Sultan Terengganu, isSpecificFormOf, Duli Yang Maha Mulia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpecificFormOf Context triple: [Duli Yang Maha Mulia Sultan Terengganu, isSpecificFormOf, Duli Yang Maha Mulia]
-
A.
isRealFormOf
Indicates that one entity is the actual, physically existing or fully realized version of another entity, which may be abstract, conceptual, or a representation.
-
B.
isModifiedFormOf
Indicates that one entity is a changed, adapted, or altered version derived from another entity.
-
C.
isLesserKnownFormOf
chosen
Indicates that one entity is a less widely recognized or less commonly used variant, version, or form of another entity.
-
D.
takesFormOf
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
E.
isCombinedFormOf
Indicates that one entity is a composite or merged form that results from combining two or more other entities.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7007970ac819092f5ab972587afd3 |
completed | May 3, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.