Triple

T1915828
Position Surface form Disambiguated ID Type / Status
Subject Southwest England E40015 entity
Predicate hasCounty P285 FINISHED
Object Cornwall E112827 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: Cornwall | Statement: [Southwest England, hasCounty, Cornwall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornwall
Context triple: [Southwest England, hasCounty, Cornwall]
  • A. Cornwall chosen
    Cornwall is a county in the far southwest of England, known for its rugged coastline, Celtic heritage, and popular seaside tourism.
  • B. Cornwall
    Cornwall is a small town in central Prince Edward Island, Canada, located just west of the provincial capital, Charlottetown.
  • C. Devon
    Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
  • D. Torbay
    Torbay is a coastal unitary authority and popular seaside resort area in Devon, England, encompassing the towns of Torquay, Paignton, and Brixham.
  • E. Dorset
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8342b7688190a626b4f5d3b3807d completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:35 p.m.