Triple

T3850808
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom general election, 1970 E85289 entity
Predicate liberalPopularVoteShare P40761 FINISHED
Object 7.5% 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: 7.5% | Statement: [United Kingdom general election, 1970, liberalPopularVoteShare, 7.5%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: liberalPopularVoteShare
Context triple: [United Kingdom general election, 1970, liberalPopularVoteShare, 7.5%]
  • A. popularVoteShareLiberals chosen
    Indicates the proportion of the total popular vote that was received by the Liberal party or liberal candidates in an election.
  • B. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • C. labourPopularVoteShare
    Indicates the proportion of all valid votes cast that were received by the Labour Party in a given election or electoral contest.
  • D. conservativePopularVotePercentage
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • E. smithPopularVotePercentage
    Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.