Triple

T16186685
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom general election, 1966 E392821 entity
Predicate percentageVoteConservatives P25722 FINISHED
Object 41.9% 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: 41.9% | Statement: [United Kingdom general election, 1966, percentageVoteConservatives, 41.9%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: percentageVoteConservatives
Context triple: [United Kingdom general election, 1966, percentageVoteConservatives, 41.9%]
  • A. numberOfVotesConservative
    Indicates the number of votes that were cast for the Conservative option or party in a given context.
  • B. conservativePopularVotePercentage chosen
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • C. ConservativeVoteSwing
    Indicates a change in the level of electoral support for the Conservative party between two points in time or between two elections.
  • D. ConservativeSeatsWon
    Indicates the number of parliamentary or legislative seats won by the Conservative party in an election.
  • E. popularVoteShareLiberals
    Indicates the proportion of the total popular vote that was received by the Liberal party or liberal candidates in an election.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22061f47481909ededd5eed40f5a4 completed April 17, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69e219e11f6081909106b1240a17fd37 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.