Triple

T37033218
Position Surface form Disambiguated ID Type / Status
Subject 2016 Scottish Parliament election E916551 entity
Predicate ConservativeVoteSharePercentage P25722 FINISHED
Object 22.0 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: 22.0 | Statement: [2016 Scottish Parliament election, ConservativeVoteSharePercentage, 22.0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ConservativeVoteSharePercentage
Context triple: [2016 Scottish Parliament election, ConservativeVoteSharePercentage, 22.0]
  • A. conservativePopularVotePercentage chosen
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • B. numberOfVotesConservative
    Indicates the number of votes that were cast for the Conservative option or party in a given context.
  • C. ConservativeSeatsWon
    Indicates the number of parliamentary or legislative seats won by the Conservative party in an election.
  • D. ConservativeVoteSwing
    Indicates a change in the level of electoral support for the Conservative party between two points in time or between two elections.
  • E. swingToConservativePercentagePoints
    Indicates the change, measured in percentage points, in support shifting toward a conservative option or party between two points in time.
  • 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_69f76e92c7648190bcfa277f64c71a21 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
Created at: May 3, 2026, 4:14 p.m.