Triple

T37033192
Position Surface form Disambiguated ID Type / Status
Subject 2016 Scottish Parliament election E916551 entity
Predicate turnoutChangePercentagePoints P1235 FINISHED
Object +5.1 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: +5.1 | Statement: [2016 Scottish Parliament election, turnoutChangePercentagePoints, +5.1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: turnoutChangePercentagePoints
Context triple: [2016 Scottish Parliament election, turnoutChangePercentagePoints, +5.1]
  • A. voterTurnoutChange chosen
    Indicates the amount or direction of change in voter turnout between two elections or time periods.
  • B. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • C. turnout
    Indicates the number or proportion of participants who attend or take part in an event or activity.
  • D. turnoutVariesByYear
    Indicates that the level of turnout changes depending on the specific year considered.
  • E. turnoutType
    Indicates the specific kind or category of turnout (e.g., how or in what form participation or attendance occurs) associated with an event or activity.
  • 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_69fb154c0fe08190a2e41e7a29b6055f completed May 6, 2026, 10:17 a.m.
PD Predicate disambiguation batch_69f9fecc005c8190be082a8689193745 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:14 p.m.