Triple

T16392313
Position Surface form Disambiguated ID Type / Status
Subject Type 23 frigate E398083 entity
Predicate builtBy P972 FINISHED
Object Swan Hunter E904077 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: Swan Hunter | Statement: [Type 23 frigate, builtBy, Swan Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swan Hunter
Context triple: [Type 23 frigate, builtBy, Swan Hunter]
  • A. Swan Hunter chosen
    Swan Hunter was a prominent British shipbuilding company based on the River Tyne, renowned for constructing many notable Royal Navy and commercial vessels during the 19th and 20th centuries.
  • B. Catterall
    Catterall is a small village and civil parish in Lancashire, England, situated near the River Wyre and close to the town of Garstang.
  • C. Cygnet
    Cygnet is a small rural town in southern Tasmania, Australia, known for its scenic Huon Valley setting, apple-growing heritage, and vibrant arts and folk music scene.
  • D. Skaife
    Skaife is the surname of Mark Skaife, a prominent Australian racing driver and multiple Supercars Championship winner.
  • E. Swan
    Swan is a large, graceful waterbird known for its long neck, white or black plumage, and strong cultural associations with beauty and elegance.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003573c6d48190979201b9619c5103 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.