Triple

T5181615
Position Surface form Disambiguated ID Type / Status
Subject 1987 United Kingdom general election E116933 entity
Predicate popularVoteLabourPercentage P40995 FINISHED
Object 30.8 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: 30.8 | Statement: [1987 United Kingdom general election, popularVoteLabourPercentage, 30.8]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVoteLabourPercentage
Context triple: [1987 United Kingdom general election, popularVoteLabourPercentage, 30.8]
  • A. labourPopularVoteShare chosen
    Indicates the proportion of all valid votes cast that were received by the Labour Party in a given election or electoral contest.
  • B. numberOfVotesLabour
    Indicates the total count of votes that were cast for the Labour party in a given election or voting context.
  • C. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • D. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • E. conservativePopularVotePercentage
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799bc58c819098a8e91e21baaef4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b529948190b86671ebe43f4734 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.