Triple

T3788920
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom general election, 1979 E89596 entity
Predicate voteShareConservative P25722 FINISHED
Object 43.9% 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: 43.9% | Statement: [United Kingdom general election, 1979, voteShareConservative, 43.9%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voteShareConservative
Context triple: [United Kingdom general election, 1979, voteShareConservative, 43.9%]
  • A. conservativePopularVotePercentage chosen
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • B. ConservativeSeatsWon
    Indicates the number of parliamentary or legislative seats won by the Conservative party in an election.
  • C. ConservativeSeatChange
    Indicates the change in the number of seats held by the Conservative party between two electoral periods.
  • D. popularVoteShareLiberals
    Indicates the proportion of the total popular vote that was received by the Liberal party or liberal candidates in an election.
  • E. identifiesAsConservativeLineageTo
    Indicates that one entity regards another as belonging to, or continuing, a conservative ideological or traditional lineage.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69aee743c8d08190a9f9c97b836bd703 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:14 p.m.