Triple

T7976489
Position Surface form Disambiguated ID Type / Status
Subject Codnor E185458 entity
Predicate hasNearby P350 FINISHED
Object Loscoe E576787 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: Loscoe | Statement: [Codnor, hasNearby, Loscoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loscoe
Context triple: [Codnor, hasNearby, Loscoe]
  • A. Loscoe chosen
    Loscoe is a village in Derbyshire, England, known for its residential character and proximity to the town of Heanor.
  • B. Cadogan
    Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
  • C. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • D. Hensleigh
    Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
  • E. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.