Triple
T12992799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA3 |
E321956
|
entity |
| Predicate | typicalPartisanLeaning |
P15842
|
FINISHED |
| Object | Republican-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: Republican-leaning | Statement: [GA3, typicalPartisanLeaning, Republican-leaning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPartisanLeaning Context triple: [GA3, typicalPartisanLeaning, Republican-leaning]
-
A.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
B.
hasStrongPartyLean
Indicates that an entity consistently favors or aligns strongly with a particular political party.
-
C.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
D.
nonPartisan
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
-
E.
traditionalPoliticalAlignment
Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.