Triple

T26972087
Position Surface form Disambiguated ID Type / Status
Subject 2000 United States Senate elections E679343 entity
Predicate beforeElectionSenateComposition P93724 FINISHED
Object 55 Republicans, 45 Democrats 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: 55 Republicans, 45 Democrats | Statement: [2000 United States Senate elections, beforeElectionSenateComposition, 55 Republicans, 45 Democrats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beforeElectionSenateComposition
Context triple: [2000 United States Senate elections, beforeElectionSenateComposition, 55 Republicans, 45 Democrats]
  • A. afterElectionSenator
    Indicates that one person holds the position of senator following a specified election.
  • B. electionForSenateMembers
    Indicates an electoral process in which individuals are chosen to serve as members of a senate.
  • C. precededInSenateBy
    Indicates that one officeholder directly held a given Senate seat before another officeholder, in terms of succession to that seat.
  • D. positionBeforeElection
    Indicates that an entity held a particular position or office prior to a specified election.
  • E. chamberBeforeElection chosen
    Indicates that a particular legislative chamber configuration existed prior to a specified election event.
  • 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_69f621cbc48881908d104c648c91c715 completed May 2, 2026, 4:09 p.m.
PD Predicate disambiguation batch_69f620e0b37481909a280574decbd443 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 6:40 a.m.