Triple

T11643995
Position Surface form Disambiguated ID Type / Status
Subject Clough Williams-Ellis E276733 entity
Predicate countryOfCitizenship P2 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: [Clough Williams-Ellis, countryOfCitizenship, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales
Context triple: [Clough Williams-Ellis, countryOfCitizenship, 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. Morgannwg
    Morgannwg is the traditional Welsh name for the historic county of Glamorgan in south Wales, known for its rich medieval heritage and early industrial development.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cb4ca88190a9322f08416d3974 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef137087248190bb6c196bc94eb0f6 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.