Triple
T2329611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 7th congressional district |
E48370
|
entity |
| Predicate | historicalPartyLeaning |
P8471
|
FINISHED |
| Object | Republican |
—
|
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 | Statement: [Texas's 7th congressional district, historicalPartyLeaning, Republican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPartyLeaning Context triple: [Texas's 7th congressional district, historicalPartyLeaning, Republican]
-
A.
historicalDominantParties
chosen
Indicates that certain political parties have historically held dominant or ruling positions within a given political system or jurisdiction.
-
B.
electoralHistory
Indicates the historical record of elections or voting outcomes associated with an entity.
-
C.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
-
D.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:50 p.m.