Triple

T3580598
Position Surface form Disambiguated ID Type / Status
Subject Amber Rudd E75788 entity
Predicate stanceOnBrexit P20438 FINISHED
Object supporter of remaining in the European Union 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: supporter of remaining in the European Union | Statement: [Amber Rudd, stanceOnBrexit, supporter of remaining in the European Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stanceOnBrexit
Context triple: [Amber Rudd, stanceOnBrexit, supporter of remaining in the European Union]
  • A. positionOnBrexit chosen
    Indicates a stance or viewpoint an entity holds regarding the United Kingdom’s decision to leave the European Union (Brexit).
  • B. stanceOnImmigration
    Indicates a subject’s position, attitude, or policy preference regarding immigration.
  • 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. referendumSupportNorthernIreland
    Indicates support for holding or backing the outcome of a referendum specifically concerning Northern Ireland.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc101738c81908d38987f8fa291ef completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.