Triple

T6608558
Position Surface form Disambiguated ID Type / Status
Subject Football Focus E149179 entity
Predicate originalNetwork P2594 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: [Football Focus, originalNetwork, BBC Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Wales
Context triple: [Football Focus, originalNetwork, 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. Channel Four Wales
    Channel Four Wales is the English-language name for S4C, the Welsh-language public service television channel broadcasting in Wales.
  • E. TrawsCymru
    TrawsCymru is a long-distance bus network in Wales that provides inter-urban and regional coach services connecting major towns and cities.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af31c4748190ab5027771c9ce5b2 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43cc42081909762eec710773f40 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:57 p.m.