Triple

T2219004
Position Surface form Disambiguated ID Type / Status
Subject New York–Paris E48096 entity
Predicate servedBy P82 FINISHED
Object Corsair International E10910 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: Corsair International | Statement: [New York–Paris, servedBy, Corsair International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corsair International
Context triple: [New York–Paris, servedBy, Corsair International]
  • A. Corsair International chosen
    Corsair International is a French long-haul leisure airline operating flights primarily from Paris to holiday destinations in the Caribbean, Indian Ocean, and North America.
  • B. the Corsair
    The Corsair is a renegade Time Lord from the Doctor Who universe, known for their adventurous, gender-fluid incarnations and friendship with the Doctor.
  • C. United Company
    United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
  • D. Mount Company
    Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
  • E. Mirage Enterprises
    Mirage Enterprises is a film production company best known for producing acclaimed movies such as the Academy Award–winning drama "Out of Africa."
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655b369c8190a5d12b87401534d7 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.