Triple

T6603158
Position Surface form Disambiguated ID Type / Status
Subject Sir Thomas Monck E149050 entity
Predicate livedIn P75 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: [Sir Thomas Monck, livedIn, Devon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devon
Context triple: [Sir Thomas Monck, livedIn, 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70ae438b0819086449c169e5c7e49 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 1:56 p.m.