Triple
T29982713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian constitutional monarchy |
E761637
|
entity |
| Predicate | includesGovernorState |
P201906
|
FINISHED |
| Object | Penang |
—
|
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: Penang | Statement: [Malaysian constitutional monarchy, includesGovernorState, Penang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesGovernorState Context triple: [Malaysian constitutional monarchy, includesGovernorState, Penang]
-
A.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
B.
stateOfGovernorship
Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
-
C.
hasGovernorPer
Indicates that a person serves as the governor of a particular political or administrative entity.
-
D.
stateGovernorJurisdiction
Indicates that a particular state governor has official governing authority or jurisdiction over a specified geographic or political region.
-
E.
canBeGovernorOf
Indicates that one entity has the eligibility or capacity to serve as the governor of another entity (such as a region, state, or organization).
- F. None of above. chosen
Provenance (4 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00315632a8819092290f455babd7ee |
completed | May 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_6a002f54a0dc81909b0e54c5e110e67c |
completed | May 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_6a00315584308190abdc11e634956d42 |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 29, 2026, 6:35 p.m.