Triple

T6080100
Position Surface form Disambiguated ID Type / Status
Subject Lundy E135499 entity
Predicate hasHistoricCounty P1069 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: [Lundy, hasHistoricCounty, Devon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devon
Context triple: [Lundy, hasHistoricCounty, 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. Devon
    Devon is a residential neighbourhood located within the city of Fredericton in New Brunswick, Canada.
  • C. Devon
    Devon is the central protagonist of the 1970s Canadian science fiction television series "The Starlost," who discovers the truth about his generation starship and seeks to save its inhabitants.
  • D. 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.
  • E. West Devon
    West Devon is a largely rural local government district and borough in the county of Devon, England, known for its moorland landscapes 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057735b6081908b82757505fa7d5d completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518d771408190bcff32f692c2b9fd completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:11 p.m.