Triple
T33845959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Kingsford Smith |
E867478
|
entity |
| Predicate | traditionalPartyLeaning |
P15842
|
FINISHED |
| Object | Labor |
—
|
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: Labor | Statement: [Division of Kingsford Smith, traditionalPartyLeaning, Labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalPartyLeaning Context triple: [Division of Kingsford Smith, traditionalPartyLeaning, Labor]
-
A.
traditionalPoliticalAlignment
Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
-
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.
politicalOrientationOfParty
Indicates the political ideology or orientation that characterizes a political party.
-
E.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
Created at: May 1, 2026, 1:47 a.m.