Triple

T5384190
Position Surface form Disambiguated ID Type / Status
Subject Crich Stand E113162 entity
Predicate locatedIn P40 FINISHED
Object Crich E121852 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: Crich | Statement: [Crich Stand, locatedIn, Crich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crich
Context triple: [Crich Stand, locatedIn, Crich]
  • A. Crich chosen
    Crich is a village in Derbyshire, England, known for its historic tramway museum and scenic location on the edge of the Peak District.
  • B. Shanklin
    Shanklin is a popular seaside resort town on the Isle of Wight in England, known for its sandy beach, Victorian architecture, and scenic coastal walks.
  • C. Clevedon
    Clevedon is a coastal town in southwest England known for its Victorian pier and views across the Severn Estuary.
  • D. Port Talbot
    Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
  • E. Whitland
    Whitland is a small market town in Carmarthenshire, southwest Wales, known historically for its nearby Cistercian abbey and its role as a local agricultural and transport hub.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86f39edc81908e53973cef1bc0f3 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf335661c8819091058a5275b95284 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.