Triple
T27250569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 New York City mayoral election |
E687473
|
entity |
| Predicate | primaryElectionWinner |
P4176
|
FINISHED |
| Object | David Dinkins |
—
|
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: David Dinkins | Statement: [1989 New York City mayoral election, primaryElectionWinner, David Dinkins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryElectionWinner Context triple: [1989 New York City mayoral election, primaryElectionWinner, David Dinkins]
-
A.
primaryElection
Indicates a relationship where an election is held within a party or jurisdiction to select its main candidate(s) for a subsequent general or higher-level election.
-
B.
electionWinner
Indicates that the subject is the candidate who received the highest support and officially won a particular election.
-
C.
wonPrimary
chosen
Indicates that a candidate secured victory in a primary election against their competitors.
-
D.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
-
E.
RepublicanPrimaryOutcome
Indicates the result or status of a Republican Party primary contest, specifying which candidate or option prevailed.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: April 27, 2026, 10:45 a.m.