Triple

T12744764
Position Surface form Disambiguated ID Type / Status
Subject Convoy WS 21S E304575 entity
Predicate includedShip P880 FINISHED
Object SS Melbourne Star E999088 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: SS Melbourne Star | Statement: [Convoy WS 21S, includedShip, SS Melbourne Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS Melbourne Star
Context triple: [Convoy WS 21S, includedShip, SS Melbourne Star]
  • A. SS Melbourne Star chosen
    SS Melbourne Star was a British refrigerated cargo liner best known for her service on World War II convoys, including the perilous Pedestal convoy to relieve Malta.
  • B. The Star Sydney
    The Star Sydney is a major casino and entertainment complex in Sydney, Australia, featuring gaming facilities, hotels, restaurants, and live performance venues.
  • C. Sydney Tower
    Sydney Tower is a prominent observation and communications tower in Sydney, Australia, known for its panoramic city views and status as one of the city's most recognizable landmarks.
  • D. Cremorne Tower
    Cremorne Tower is a residential high-rise block that forms part of the World’s End Estate in Chelsea, London.
  • E. Queens Wharf
    Queens Wharf is a light rail stop on the Newcastle Light Rail network serving the waterfront and entertainment precinct in Newcastle, New South Wales, Australia.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd42fe08190a85467b1a998d2af completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ee2ab4819099194d115d2e5a15 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:26 p.m.