Triple

T37826942
Position Surface form Disambiguated ID Type / Status
Subject 2016 United States House of Representatives elections E943086 entity
Predicate beforeElectionSpeakerParty P70800 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: [2016 United States House of Representatives elections, beforeElectionSpeakerParty, Republican Party (United States)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beforeElectionSpeakerParty
Context triple: [2016 United States House of Representatives elections, beforeElectionSpeakerParty, Republican Party (United States)]
  • A. speakerBeforeElection
    Indicates that the person served as a speaker or spokesperson prior to an election event.
  • B. speakerMPPartyBeforeSpeakership chosen
    Indicates the political party affiliation an individual belonged to before they assumed the role of speaker.
  • C. incumbentPartyBeforeElection
    Indicates which political party held governing power immediately prior to a given election.
  • D. partyInElection
    Indicates that a political party participates as a contestant or actor in a specific election.
  • E. officeHolderBeforeParty
    Indicates that one office holder preceded another in holding the same office before a specified political party came into power or became relevant.
  • 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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.