Triple

T6200
Position Surface form Disambiguated ID Type / Status
Subject New York State Senator E124 entity
Predicate canVoteOn P1084 FINISHED
Object bills 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: bills | Statement: [New York State Senator, canVoteOn, bills]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canVoteOn
Context triple: [New York State Senator, canVoteOn, bills]
  • A. hasElectoralVotes
    Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
  • B. hasElectoralRepresentation
    Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
  • C. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • D. electionMethod
    Indicates the process or system used to select a candidate or make a decision in an election.
  • E. elects
    Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a2421836f08190b54fc40edeb1a96b completed Feb. 28, 2026, 1:17 a.m.
PD Predicate disambiguation batch_69a23fe064c881909496fd0e6b0e18d7 completed Feb. 28, 2026, 1:07 a.m.
PDg Predicate description generation batch_69a242174cd4819095f78b221e1b41f1 completed Feb. 28, 2026, 1:17 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.