Triple

T7001062
Position Surface form Disambiguated ID Type / Status
Subject Polish legislative election of 1989 E162336 entity
Predicate voterTurnoutFirstRound P19117 FINISHED
Object high 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: high | Statement: [Polish legislative election of 1989, voterTurnoutFirstRound, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voterTurnoutFirstRound
Context triple: [Polish legislative election of 1989, voterTurnoutFirstRound, high]
  • A. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • B. firstRoundLeadingCandidate
    Indicates that the subject is the candidate who is leading in vote count after the first round of an election or selection process.
  • C. voterTurnoutChange
    Indicates the amount or direction of change in voter turnout between two elections or time periods.
  • D. voterTurnoutDescription chosen
    Indicates a textual explanation or characterization of the level, nature, or patterns of voter turnout in an election or voting event.
  • E. firstFederalElection
    Indicates the relationship in which an entity participates in or is associated with the first federal election of a given political system or jurisdiction.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc0f8830819091f4356296234713 completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c67c94819084fdcf0398606027 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:33 p.m.