Triple

T2486157
Position Surface form Disambiguated ID Type / Status
Subject South Coast of England E55930 entity
Predicate hasCounty P285 FINISHED
Object Devon E100074 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: Devon | Statement: [South Coast of England, hasCounty, Devon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devon
Context triple: [South Coast of England, hasCounty, Devon]
  • A. Devon chosen
    Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
  • B. 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.
  • C. North Devon
    North Devon is a largely rural district and coastal area in the county of Devon, England, known for its market towns, beaches, and scenic countryside.
  • D. Cornwall
    Cornwall is a small town in central Prince Edward Island, Canada, located just west of the provincial capital, Charlottetown.
  • E. Cornwall
    Cornwall is a county in the far southwest of England, known for its rugged coastline, Celtic heritage, and popular seaside tourism.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd17705488190b90b1aa66dd25972 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b402a702a081909319ba32990fa010 completed March 13, 2026, 12:27 p.m.
Created at: March 6, 2026, 9:45 p.m.