Triple

T13914860
Position Surface form Disambiguated ID Type / Status
Subject HNA Group E334594 entity
Predicate owns P347 FINISHED
Object Hong Kong Airlines E872194 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: Hong Kong Airlines | Statement: [HNA Group, owns, Hong Kong Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong Airlines
Context triple: [HNA Group, owns, Hong Kong Airlines]
  • A. Hong Kong Airlines chosen
    Hong Kong Airlines is a Hong Kong-based full-service carrier operating regional and international flights primarily across Asia and the Pacific.
  • B. 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.
  • C. Cathay Pacific
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service 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. Singapore Airlines
    Singapore Airlines is the flag carrier of Singapore, renowned for its premium service, extensive international network, and consistently high rankings among the world’s best airlines.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72a345481908f8552bca7bb1a5a completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.