Triple
T33413655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemaman District |
E855653
|
entity |
| Predicate | hasMajorIndustryOperator |
P95216
|
FINISHED |
| Object | Petronas |
—
|
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: Petronas | Statement: [Kemaman District, hasMajorIndustryOperator, Petronas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorIndustryOperator Context triple: [Kemaman District, hasMajorIndustryOperator, Petronas]
-
A.
servesAsOperatorOf
Indicates that one entity functions as the operator or operating agent responsible for running, controlling, or managing another entity.
-
B.
hasMajorOperator
chosen
Indicates that an entity is primarily operated, managed, or run by a specified main operator or organization.
-
C.
hasMajorEmployerType
Indicates the type or category of major employer associated with an entity.
-
D.
hasMajorEmployer
Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
-
E.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0115fb84448190b8b67a5ace7b289a |
completed | May 10, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_6a0114ef60a081908f8db7868cf29b2f |
completed | May 10, 2026, 11:29 p.m. |
Created at: May 1, 2026, 1:36 a.m.