Triple

T274906
Position Surface form Disambiguated ID Type / Status
Subject Brexit E5225 entity
Predicate referendumResultRemainPercentage P8662 FINISHED
Object 48.1 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: 48.1 | Statement: [Brexit, referendumResultRemainPercentage, 48.1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: referendumResultRemainPercentage
Context triple: [Brexit, referendumResultRemainPercentage, 48.1]
  • A. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • B. voterTurnoutChange
    Indicates the amount or direction of change in voter turnout between two elections or time periods.
  • 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. ratificationVote
    Indicates a formal vote taken to approve, confirm, or give official sanction to a decision, agreement, or action.
  • E. popularVotePercentageLoser
    Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
  • F. None of above. chosen

Provenance (4 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd1cdf881909c2c9b77b7f88684 completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b7345c4819086c21710864a1b42 completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25c036b54819090a101c4cbdbcff7 completed Feb. 28, 2026, 3:07 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.