Triple

T2436334
Position Surface form Disambiguated ID Type / Status
Subject Aran Fawddwy E52969 entity
Predicate locatedIn P40 FINISHED
Object Wales E9984 NE 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: Wales | Statement: [Aran Fawddwy, locatedIn, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales
Context triple: [Aran Fawddwy, locatedIn, Wales]
  • A. Wales chosen
    Wales is a country on the western side of Great Britain, known for its distinct Celtic culture, Welsh language, mountainous national parks, and historic castles.
  • B. England and Wales
    England and Wales is a legal jurisdiction within the United Kingdom, encompassing two of its constituent countries and sharing a unified legal system and many governmental institutions.
  • C. England
    England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
  • D. Wales & Borders
    Wales & Borders was a former British train operating company that provided regional and intercity passenger rail services across Wales and into neighboring parts of England.
  • E. Wales (parts)
    Wales (parts) refers to the regions of Wales that came under Norman control during the medieval expansion of Norman rule into the British Isles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6634a48190af82eab6b9750323 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.