Triple

T13683993
Position Surface form Disambiguated ID Type / Status
Subject 2015 United Kingdom general election E328071 entity
Predicate regionCovered 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: [2015 United Kingdom general election, regionCovered, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales
Context triple: [2015 United Kingdom general election, regionCovered, 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. Wales
    Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • C. Prydain
    Prydain is a fictional, myth-inspired fantasy land created by Lloyd Alexander as the setting for his Chronicles of Prydain series.
  • D. Talywain
    Talywain is a small village and former coal-mining community in the county borough of Torfaen in south-east Wales.
  • E. Brittain
    Brittain is an English surname most notably associated with Vera Brittain, the writer, feminist, and pacifist known for her World War I memoir "Testament of Youth."
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.