Triple

T17294463
Position Surface form Disambiguated ID Type / Status
Subject 2019 Conservative Party (UK) leadership election E419868 entity
Predicate memberTurnoutPercentage P1234 FINISHED
Object 87.4 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: 87.4 | Statement: [2019 Conservative Party (UK) leadership election, memberTurnoutPercentage, 87.4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: memberTurnoutPercentage
Context triple: [2019 Conservative Party (UK) leadership election, memberTurnoutPercentage, 87.4]
  • A. voterTurnoutPercentage chosen
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • B. supportPercentage
    Indicates the proportion or share of total backing, approval, or assistance that one entity provides to or receives from another, typically expressed as a percentage.
  • C. noVotesPercentage
    Indicates the proportion of total votes that were cast as "no" in a given decision or election.
  • D. numberOfParticipants
    Indicates the total count of entities involved in a particular event, activity, or relationship.
  • E. votesForPercentage
    Indicates the proportion of total votes that one entity receives in favor of another entity or option, usually expressed as a percentage.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:40 a.m.