Triple

T1659668
Position Surface form Disambiguated ID Type / Status
Subject Vote Leave E35875 entity
Predicate notableClaim P13068 FINISHED
Object The UK sends £350 million a week to the EU 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: The UK sends £350 million a week to the EU | Statement: [Vote Leave, notableClaim, The UK sends £350 million a week to the EU]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableClaim
Context triple: [Vote Leave, notableClaim, The UK sends £350 million a week to the EU]
  • A. hasNotableClaim chosen
    Indicates that an entity is associated with a significant, widely recognized statement, assertion, or claim.
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. notableFact
    Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
  • D. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • E. notableSingle
    Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69a907cff53c8190b424f088478d3e2c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.