Triple

T20455191
Position Surface form Disambiguated ID Type / Status
Subject Darley Dale ward E501756 entity
Predicate represents P129 FINISHED
Object Darley Dale NE NERFINISHED

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: Darley Dale | Statement: [Darley Dale ward, represents, Darley Dale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darley Dale
Context triple: [Darley Dale ward, represents, Darley Dale]
  • A. Darley Dale chosen
    Darley Dale is a small town and civil parish in the Derbyshire Dales of England, known for its scenic setting near the Peak District and its historic railway heritage.
  • B. Biff Dawes
    Biff Dawes is a recording engineer and producer known for his work on Tom Waits’ critically acclaimed album "Rain Dogs."
  • C. Nathan Dales
    Nathan Dales is a Canadian actor best known for playing Daryl on the comedy series "Letterkenny."
  • D. Danny Partridge
    Danny Partridge is the wisecracking, redheaded middle son and bass player in the fictional musical family from the 1970s TV sitcom "The Partridge Family."
  • E. Nick Daley
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a0dd188190ab6cbb387d9c0c1d completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.