Triple

T26972085
Position Surface form Disambiguated ID Type / Status
Subject 2000 United States Senate elections E679343 entity
Predicate beforeElectionMajorityParty P6365 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: [2000 United States Senate elections, beforeElectionMajorityParty, Republican Party (United States)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beforeElectionMajorityParty
Context triple: [2000 United States Senate elections, beforeElectionMajorityParty, Republican Party (United States)]
  • A. incumbentPartyBeforeElection chosen
    Indicates which political party held governing power immediately prior to a given election.
  • B. majorParty1
    Indicates that the subject entity is the primary or first major party involved in a relationship, agreement, or event.
  • C. mayorAfterElectionParty
    Indicates the political party affiliation of the mayor who assumes office following a specific election.
  • D. winnerPresidentialParty
    Indicates that the specified political party is the party of the candidate who won a given presidential election.
  • E. majorityPartyInHouse
    Indicates that a given political party holds more seats than any other party in a specified legislative house.
  • 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_69eeeb507a7081909d516e1fa08b7d29 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62125bd7081909c1901e3bf566669 completed May 2, 2026, 4:07 p.m.
PD Predicate disambiguation batch_69f61b3ee7b08190a0a1bc5d26b757aa completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 6:40 a.m.