Triple

T19206141
Position Surface form Disambiguated ID Type / Status
Subject 1955 United Kingdom general election E480237 entity
Predicate swingToConservativeParty P62223 FINISHED
Object 1.7 percentage points 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: 1.7 percentage points | Statement: [1955 United Kingdom general election, swingToConservativeParty, 1.7 percentage points]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: swingToConservativeParty
Context triple: [1955 United Kingdom general election, swingToConservativeParty, 1.7 percentage points]
  • A. swingToConservativePercentagePoints chosen
    Indicates the change, measured in percentage points, in support shifting toward a conservative option or party between two points in time.
  • B. ConservativeVoteSwing
    Indicates a change in the level of electoral support for the Conservative party between two points in time or between two elections.
  • C. party1VoteSwing
    Indicates the change in vote share or support experienced by the first party between two electoral contexts or time points.
  • D. ConservativeSeatChange
    Indicates the change in the number of seats held by the Conservative party between two electoral periods.
  • E. politicalShift
    Indicates a change in an entity’s political position, alignment, or governing structure over 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99d8ad0819098ebd4ee007149f1 completed April 20, 2026, 10:02 a.m.
PD Predicate disambiguation batch_69e4dcf22b3c8190bee02e3af946e114 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:19 p.m.