Triple

T16086554
Position Surface form Disambiguated ID Type / Status
Subject Piers Wenger E390242 entity
Predicate employer P7 FINISHED
Object BBC Wales E73098 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: BBC Wales | Statement: [Piers Wenger, employer, BBC Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Wales
Context triple: [Piers Wenger, employer, BBC Wales]
  • A. BBC Cymru Wales chosen
    BBC Cymru Wales is the Welsh division of the BBC responsible for producing television, radio, and online content, including various drama series and regional programming.
  • B. BBC Radio Wales
    BBC Radio Wales is the national English-language radio station for Wales, operated by the BBC and offering a mix of news, talk, music, and cultural programming tailored to Welsh audiences.
  • C. BBC Radio Cymru
    BBC Radio Cymru is a Welsh-language national radio station providing news, music, and cultural programming across Wales.
  • D. Wales Online
    Wales Online is a regional news website providing local and national news, sport, and entertainment coverage focused on Wales.
  • E. BBC Scotland
    BBC Scotland is a national television and radio division of the BBC that produces and broadcasts programming tailored to audiences in Scotland.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844f95508190a06dad0ccc9b6191 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb934b448190a486401ac6c01065 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.