Triple

T6933721
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Navy E160498 entity
Predicate hasComponent P35 FINISHED
Object Surface Fleet E8692 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: Surface Fleet | Statement: [Pakistan Navy, hasComponent, Surface Fleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surface Fleet
Context triple: [Pakistan Navy, hasComponent, Surface Fleet]
  • A. Surface Fleet chosen
    Surface Fleet is the component of the Royal Navy responsible for its commissioned warships and other surface vessels that conduct maritime operations.
  • B. Channel Fleet
    The Channel Fleet was a major formation of the British Royal Navy responsible for defending the English Channel and nearby waters, particularly during the late 19th and early 20th centuries.
  • C. Fleet
    Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
  • D. Fleet
    Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
  • 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 (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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da415b1481908d70b92ecd5fd8e6 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514ead808190bff53b49b5f331fb completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.