Triple

T13519953
Position Surface form Disambiguated ID Type / Status
Subject Framed (novel) E322866 entity
Predicate settingLocation P40 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: [Framed (novel), settingLocation, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales
Context triple: [Framed (novel), settingLocation, Wales]
  • A. Wales
    Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • B. 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.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75485af6c8190a43ccab5449f5014 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.