Triple

T14894535
Position Surface form Disambiguated ID Type / Status
Subject Fleet, Hampshire E359836 entity
Predicate postTown P2711 FINISHED
Object FLEET E74484 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: FLEET | Statement: [Fleet, Hampshire, postTown, FLEET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FLEET
Context triple: [Fleet, Hampshire, postTown, FLEET]
  • A. Fleet chosen
    Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
  • B. Fleet
    Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
  • C. Fleet
    Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
  • D. Home Fleet
    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.
  • E. 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.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b679fb081908cf8f41acfba3b99 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.