Triple

T11835923
Position Surface form Disambiguated ID Type / Status
Subject Convair 880 E281515 entity
Predicate primaryUser P2090 FINISHED
Object Cathay Pacific E8737 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: Cathay Pacific | Statement: [Convair 880, primaryUser, Cathay Pacific]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cathay Pacific
Context triple: [Convair 880, primaryUser, Cathay Pacific]
  • A. Cathay Pacific chosen
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • B. Hong Kong Airlines
    Hong Kong Airlines is a Hong Kong-based full-service carrier operating regional and international flights primarily across Asia and the Pacific.
  • C. Hong Kong Airways
    Hong Kong Airways was a mid-20th-century Hong Kong-based airline that operated regional services in East and Southeast Asia before ceasing operations.
  • D. Air Hong Kong
    Air Hong Kong is a Hong Kong-based all-cargo airline that primarily operates regional freight services across Asia.
  • E. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41787c08c8190a3427aaf2f639889 completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:43 p.m.