Triple

T15683434
Position Surface form Disambiguated ID Type / Status
Subject John Tovey E377635 entity
Predicate militaryUnit P1063 FINISHED
Object Home Fleet E76552 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: Home Fleet | Statement: [John Tovey, militaryUnit, Home Fleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Fleet
Context triple: [John Tovey, militaryUnit, Home Fleet]
  • A. Home Fleet chosen
    The Home Fleet was the Royal Navy’s primary battle fleet, responsible for defending British home waters and serving as a key strategic force in both World Wars.
  • B. Fleet
    Fleet is a publishing imprint of Little, Brown Book Group known for releasing a diverse range of literary and commercial fiction and non-fiction titles.
  • C. Fleet
    Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
  • D. Fleet
    Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
  • E. Fleet
    Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:17 a.m.