Triple

T3441281
Position Surface form Disambiguated ID Type / Status
Subject NTL:Telewest E72569 entity
Predicate areaServed P82 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: [NTL:Telewest, areaServed, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales
Context triple: [NTL:Telewest, areaServed, 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. Talywain
    Talywain is a small village and former coal-mining community in the county borough of Torfaen in south-east Wales.
  • C. 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.
  • D. England
    England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
  • E. 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.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba276b708190949f294a8d09ec7b completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35481a03c81908fd69da55d81aca3 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.