Triple

T20890912
Position Surface form Disambiguated ID Type / Status
Subject Volunteers E514403 entity
Predicate hasPart P35 FINISHED
Object Wooden Ships NE NERFINISHED

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: Wooden Ships | Statement: [Volunteers, hasPart, Wooden Ships]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wooden Ships
Context triple: [Volunteers, hasPart, Wooden Ships]
  • A. Wooden Ships chosen
    "Wooden Ships" is a classic late-1960s counterculture rock song, co-written by David Crosby, Stephen Stills, and Paul Kantner, that imagines survivors escaping a nuclear apocalypse by sea.
  • B. The Shipbuilders
    The Shipbuilders is a British wartime drama film depicting the lives and struggles of workers in a Clyde shipyard during World War II.
  • C. The Ships
    "The Ships" is the English meaning of the Greek title "As Naus," likely referring to a work centered on maritime themes or vessels.
  • D. The Old Ships
    "The Old Ships" is a lyrical poem by British writer James Elroy Flecker that nostalgically evokes the grandeur and mystery of ancient seafaring civilizations.
  • E. Mighty Ships
    Mighty Ships is a documentary television series that profiles some of the world’s most remarkable vessels, showcasing their engineering, operations, and high-stakes missions at sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d05e307081908f1d044e877017ec completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.