Triple
T6890634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier of Sarawak |
E159034
|
entity |
| Predicate | officeRenamedAsPremier |
P73971
|
FINISHED |
| Object | 2022-03-01 |
—
|
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: 2022-03-01 | Statement: [Premier of Sarawak, officeRenamedAsPremier, 2022-03-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeRenamedAsPremier Context triple: [Premier of Sarawak, officeRenamedAsPremier, 2022-03-01]
-
A.
officeMergedInto
Indicates that one office has been combined with and absorbed into another office, ceasing to exist as a separate entity.
-
B.
replacedOffice
Indicates that one office or position has been succeeded or taken over by another, replacing it in its former role or function.
-
C.
replacesOffice
Indicates that one office takes over the role, function, or position previously held by another office.
-
D.
companyRenamedTo
Indicates that a company has changed its official name from a previous one to a new specified name.
-
E.
officeAssumedFrom
Indicates that one party has taken over or begun holding an office or position previously held by another party.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92d45f08190a730b3842c95b521 |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:24 p.m.