Triple

T4912155
Position Surface form Disambiguated ID Type / Status
Subject 1951 United Kingdom general election E110256 entity
Predicate numberOfVotesLiberal P40761 FINISHED
Object approximately 0.73 million 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: approximately 0.73 million | Statement: [1951 United Kingdom general election, numberOfVotesLiberal, approximately 0.73 million]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfVotesLiberal
Context triple: [1951 United Kingdom general election, numberOfVotesLiberal, approximately 0.73 million]
  • 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. LiberalSeatsWon
    Indicates the number of parliamentary or legislative seats won by the Liberal party in an election.
  • C. conservativePopularVotePercentage
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • D. numberOfVoters
    Indicates the total count of individuals who participated in a particular vote or election.
  • E. oppositionPercentage
    Indicates the proportion of entities or participants that are in opposition to a given proposal, action, or subject relative to the whole.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9c32148190a940a3733ecd1898 completed March 20, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69bd6c325e188190823836d79934e9bc completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.