Triple

T18004835
Position Surface form Disambiguated ID Type / Status
Subject North East Hampshire (UK Parliament constituency) E430719 entity
Predicate hasTown P847 FINISHED
Object Fleet NE NERFINISHED

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: Fleet | Statement: [North East Hampshire (UK Parliament constituency), hasTown, Fleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleet
Context triple: [North East Hampshire (UK Parliament constituency), hasTown, Fleet]
  • A. Fleet
    Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
  • 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 small rural village in the South Holland district of Lincolnshire, England.
  • D. Fleet chosen
    Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
  • E. Fleet
    Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3eb1f748190904c8894d22cf85f completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.