Triple
T32933656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord President of the Federal Court of Malaysia |
E842466
|
entity |
| Predicate | officeRenamedTo |
P199577
|
FINISHED |
| Object | Chief Justice of Malaysia |
—
|
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: Chief Justice of Malaysia | Statement: [Lord President of the Federal Court of Malaysia, officeRenamedTo, Chief Justice of Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeRenamedTo Context triple: [Lord President of the Federal Court of Malaysia, officeRenamedTo, Chief Justice of Malaysia]
-
A.
officeRenamedFrom
Indicates that an office currently known by one name previously had a different name.
-
B.
officeRenamedIn
Indicates that an office changed its name in a specific time period or event.
-
C.
officeRenamedAsPremier
Indicates that an office or position has been renamed to the title "Premier."
-
D.
officeTransformedInto
Indicates that one office has been converted or changed into another office or a different type of space.
-
E.
officeTransferredTo
Indicates that an office or official position has been moved or reassigned from one entity, location, or holder to another.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69ff46aefe248190a80d898df6ef1340 |
completed | May 9, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:20 a.m.