Triple
T36285652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Moriarty |
E893073
|
entity |
| Predicate | is a politician of |
P119840
|
FINISHED |
| Object | 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: New South Wales | Statement: [Tara Moriarty, is a politician of, New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: is a politician of Context triple: [Tara Moriarty, is a politician of, New South Wales]
-
A.
typeOfPolitician
Indicates that one politician belongs to a specific category or role of political office (e.g., senator, mayor, minister) within a political system.
-
B.
politicalActor
chosen
Indicates that an entity participates in political activities or holds a role within a political system or process.
-
C.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
-
D.
notablePolitician
Indicates that the subject is a politician who is recognized as notable or significant in a political context.
-
E.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.