Triple
T4491710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Hunter |
E100589
|
entity |
| Predicate | hasPoliticalLean |
P15842
|
FINISHED |
| Object | traditionally Labor-leaning |
—
|
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: traditionally Labor-leaning | Statement: [Division of Hunter, hasPoliticalLean, traditionally Labor-leaning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalLean Context triple: [Division of Hunter, hasPoliticalLean, traditionally Labor-leaning]
-
A.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
B.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
C.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
D.
holderPoliticalAffiliation
Indicates that a person or officeholder is associated with or belongs to a particular political party or ideology.
-
E.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd556f99b48190ae60506a35b43c29 |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.