Triple

T1107356
Position Surface form Disambiguated ID Type / Status
Subject 2019 Canadian federal election E25515 entity
Predicate popularVotePercentageLiberalParty P9216 FINISHED
Object 33.1 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: 33.1 | Statement: [2019 Canadian federal election, popularVotePercentageLiberalParty, 33.1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVotePercentageLiberalParty
Context triple: [2019 Canadian federal election, popularVotePercentageLiberalParty, 33.1]
  • A. LiberalSeatsWon
    Indicates the number of parliamentary or legislative seats won by the Liberal party in an election.
  • B. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • C. popularVotePercentageLoser
    Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
  • D. LiberalSeatChange
    Indicates a change in the number of seats held by the Liberal party between two points in time.
  • E. popularVoteShare chosen
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b749e2a881909ef28745a7d2d917 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.