Triple
T34077342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasmin Catley |
E873941
|
entity |
| Predicate | isMinisterIn |
P157067
|
FINISHED |
| Object | Government of New South Wales |
—
|
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: Government of New South Wales | Statement: [Yasmin Catley, isMinisterIn, Government of New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMinisterIn Context triple: [Yasmin Catley, isMinisterIn, Government of New South Wales]
-
A.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
B.
ministerIs
Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
-
C.
ministerIsMemberOf
Indicates that a minister belongs to, and holds membership in, a particular governing body, organization, or institution.
-
D.
isMinisterialRole
Indicates that a given role is a ministerial position, typically associated with governmental or religious ministry responsibilities.
-
E.
ministersIn
chosen
Indicates that a person serves in an official ministerial role within a specified government, organization, or jurisdiction.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70bd3d9408190b405c4fa07634ae7 |
completed | May 3, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.