Triple

T6774021
Position Surface form Disambiguated ID Type / Status
Subject Charlottetown Accord E155109 entity
Predicate percentageYesVoteCanada P73196 FINISHED
Object approximately 45 percent 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: approximately 45 percent | Statement: [Charlottetown Accord, percentageYesVoteCanada, approximately 45 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: percentageYesVoteCanada
Context triple: [Charlottetown Accord, percentageYesVoteCanada, approximately 45 percent]
  • A. blocQuebecoisPopularVotePercentage
    Indicates the percentage of all valid votes that were cast for the Bloc Québécois in a given election.
  • B. yesVotes
    Indicates that a specified entity has cast or received affirmative votes in a decision-making or voting context.
  • C. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • D. representedInCanadaBy
    Indicates that one entity serves as the official representative or agent of another entity specifically within the jurisdiction of Canada.
  • E. majorityStatusInCountry
    Indicates that an entity holds majority status—such as being the largest or dominant group—within a specified country.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24c1b088190b99e9264b9b03dd8 completed March 27, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d1d5f1908190989efc8a2d18c965 completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 2:13 p.m.