Triple
T2329641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 7th congressional district |
E48370
|
entity |
| Predicate | politicalCompetitiveness |
P9263
|
FINISHED |
| Object | swing district |
—
|
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: swing district | Statement: [Texas's 7th congressional district, politicalCompetitiveness, swing district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalCompetitiveness Context triple: [Texas's 7th congressional district, politicalCompetitiveness, swing district]
-
A.
electoralCompetition
chosen
Indicates the degree to which multiple political candidates or parties actively contend against each other in an election for votes or office.
-
B.
partyInElection
Indicates that a political party participates as a contestant or actor in a specific election.
-
C.
politicalOutcome
Indicates the result or consequence of a political process, decision, event, or interaction.
-
D.
electionOpponent
Indicates that two individuals are rivals competing against each other in the same election.
-
E.
politicalPartyPromoting
Indicates that a political party actively supports, advocates for, or advances a particular person, policy, issue, or initiative.
- 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.