Triple

T8120983
Position Surface form Disambiguated ID Type / Status
Subject Channel Squadron E189606 entity
Predicate partOf P40 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: [Channel Squadron, partOf, Home Fleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Fleet
Context triple: [Channel Squadron, partOf, 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 surname of English origin borne by various notable individuals, including British actor James Fleet.
  • 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. Mobile Fleet
    The Mobile Fleet was the Imperial Japanese Navy’s principal carrier battle group during World War II, responsible for major offensive operations in the Pacific.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435b72888190ad6330b375ed1eff completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9454ccb48190b0f894bed5da8a01 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.