Triple
T24293964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 New York City mayoral election |
E605903
|
entity |
| Predicate | primaryLostParty |
P6363
|
FINISHED |
| Object | Republican Party (United States) |
—
|
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: Republican Party (United States) | Statement: [1969 New York City mayoral election, primaryLostParty, Republican Party (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLostParty Context triple: [1969 New York City mayoral election, primaryLostParty, Republican Party (United States)]
-
A.
loserParty
chosen
Indicates that a particular political party was the one that lost in a given election or contest.
-
B.
winnerParty
Indicates the political party that has won a particular election, contest, or decision-making process.
-
C.
leadingCandidateOfDefeatedParty
Indicates that an individual is the primary or most prominent candidate of a political party that has lost an election or contest.
-
D.
dominantParty
Indicates that one party in a relationship holds primary control, authority, or influence over the other.
-
E.
popularVoteLoserParty
Indicates that the subject is the political party of a candidate who lost the popular vote in an election.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915870c8819089c14de19ba2a5c5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.