Triple

T22399230
Position Surface form Disambiguated ID Type / Status
Subject South Hams E553714 entity
Predicate containsSettlement P847 FINISHED
Object Thurlestone 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: Thurlestone | Statement: [South Hams, containsSettlement, Thurlestone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thurlestone
Context triple: [South Hams, containsSettlement, Thurlestone]
  • A. Thurlestone chosen
    Thurlestone is a coastal village in South Devon, England, known for its scenic beaches, distinctive rock arch, and popularity as a holiday destination.
  • B. Laughton
    Laughton is an English surname most famously associated with the acclaimed 20th-century actor and director Charles Laughton.
  • C. Winstone
    Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
  • D. Tearle
    Tearle is an English surname most notably associated with early 20th-century stage and silent film actor Conway Tearle.
  • E. Troughton
    Troughton is a British surname most notably associated with actor Patrick Troughton, who played the Second Doctor in the long-running television series Doctor Who.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b28e58819090624f131ce63a9f completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.