Triple
T2536298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan Borough President |
E56275
|
entity |
| Predicate | reasonForLossOfVote |
P40961
|
FINISHED |
| Object | abolition of the New York City Board of Estimate |
—
|
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: abolition of the New York City Board of Estimate | Statement: [Manhattan Borough President, reasonForLossOfVote, abolition of the New York City Board of Estimate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForLossOfVote Context triple: [Manhattan Borough President, reasonForLossOfVote, abolition of the New York City Board of Estimate]
-
A.
byElectionReason
Indicates the reason or cause for which a by-election is being held.
-
B.
voteAgainst
Indicates that an entity formally expresses opposition to a proposal, decision, or candidate in a voting process.
-
C.
voteFor
Indicates that one entity casts or expresses a vote in favor of another entity or option.
-
D.
popularVoteLoser
Indicates that the subject became the winner of an election despite receiving fewer popular votes than at least one opponent.
-
E.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
- F. None of above. chosen
Provenance (4 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd648487881908ce8ca22def77294 |
completed | March 7, 2026, 7:39 a.m. |
Created at: March 6, 2026, 9:47 p.m.