Triple

T22533535
Position Surface form Disambiguated ID Type / Status
Subject ガーター勲章 E557101 entity
Predicate P9464 FINISHED
Object イギリス NE NERFINISHED

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: イギリス | Statement: [ガーター勲章, 国, イギリス]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: イギリス
Context triple: [ガーター勲章, 国, イギリス]
  • A. Bretanha
    Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
  • B. Engesland
    Engesland is a small village in southern Norway that serves as one of the rural settlements within the municipality of Birkenes in Agder county.
  • C. Great Britain chosen
    Great Britain is the large island comprising England, Scotland, and Wales, historically central to the development of the United Kingdom and the British Empire.
  • D. Great Britain
    Great Britain is the name used by the United Kingdom’s athletes competing together as a single national team at the Olympic Games.
  • E. Brittan
    Brittan is a surname most notably associated with Leon Brittan, a prominent British Conservative politician and former Home Secretary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f40f7e0f98819085e816400280d483 completed May 1, 2026, 2:27 a.m.
Created at: April 16, 2026, 8:51 p.m.