Triple

T33335190
Position Surface form Disambiguated ID Type / Status
Subject Boston and Skegness E853514 entity
Predicate referendumVoteLeaveShare P8661 FINISHED
Object over 75% 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: over 75% | Statement: [Boston and Skegness, referendumVoteLeaveShare, over 75%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: referendumVoteLeaveShare
Context triple: [Boston and Skegness, referendumVoteLeaveShare, over 75%]
  • A. votedLeaveOrRemain
    Indicates that an entity participated in a vote on a leave-or-remain decision and specifies which of the two options they chose.
  • B. referendumResultLeavePercentage chosen
    Indicates the percentage of votes in a referendum that were cast in favor of the "leave" option.
  • C. independenceReferendum
    Indicates a formal vote in which a population decides whether a territory or region should become politically independent from its current governing state or authority.
  • D. referendumRelated
    Indicates a relationship where something is connected to, associated with, or arising from a referendum process or its outcomes.
  • E. subjectOfReferendum
    Indicates that something is the issue, proposal, or matter being decided upon in a referendum.
  • 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_69f34969614c81909cd99661b0902533 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fdb45537288190b6791078d4a6899f completed May 8, 2026, 10 a.m.
PD Predicate disambiguation batch_69fdb39ad96481908376d7def9fafc13 completed May 8, 2026, 9:57 a.m.
Created at: May 1, 2026, 1:34 a.m.