Triple
T32933664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord President of the Federal Court of Malaysia |
E842466
|
entity |
| Predicate | officeHoldsPositionIn |
P16080
|
FINISHED |
| Object | Federal Court 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: Federal Court of Malaysia | Statement: [Lord President of the Federal Court of Malaysia, officeHoldsPositionIn, Federal Court of Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHoldsPositionIn Context triple: [Lord President of the Federal Court of Malaysia, officeHoldsPositionIn, Federal Court of Malaysia]
-
A.
officeHeldOf
Indicates that a specific office or position is (or was) held by a particular person or entity.
-
B.
aboutOfficeHeld
Indicates that one entity is related to, or provides information about, a specific office or position that is or was held by another entity.
-
C.
officeHolderRoleIn
Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
-
D.
memberHoldsOffice
chosen
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
E.
officePreviouslyHeldBy
Indicates that a particular office or position was formerly occupied by a specified person or entity.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: May 1, 2026, 1:20 a.m.