Triple

T865673
Position Surface form Disambiguated ID Type / Status
Subject 1945 United Kingdom general election E18695 entity
Predicate ConservativePopularVoteShare P9216 FINISHED
Object 39.7% 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: 39.7% | Statement: [1945 United Kingdom general election, ConservativePopularVoteShare, 39.7%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ConservativePopularVoteShare
Context triple: [1945 United Kingdom general election, ConservativePopularVoteShare, 39.7%]
  • A. popularVoteShare chosen
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • B. popularVotes
    Indicates the number of votes an entity (such as a candidate or option) receives directly from individual voters in an election or decision process.
  • C. smithPopularVotePercentage
    Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
  • D. popularVote
    Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
  • E. smithPopularVote
    Indicates that Smith received a specified number or share of votes in a popular vote election or ballot.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7cb1888190a46c16b30256451b completed March 1, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69a4aa87504481909618a6815948da6f completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.