Triple

T18794850
Position Surface form Disambiguated ID Type / Status
Subject SZX E459604 entity
Predicate focusCityFor P164 FINISHED
Object Donghai Airlines 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: Donghai Airlines | Statement: [SZX, focusCityFor, Donghai Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donghai Airlines
Context triple: [SZX, focusCityFor, Donghai Airlines]
  • A. Donghai Airlines chosen
    Donghai Airlines is a Chinese passenger and cargo airline based in Shenzhen that operates domestic and regional flights.
  • B. Shanghai Airlines
    Shanghai Airlines is a Chinese airline based in Shanghai that operates domestic and international passenger flights as a subsidiary of China Eastern Airlines.
  • C. Hainan Airlines
    Hainan Airlines is a major Chinese airline headquartered in Haikou, known for its extensive domestic and international route network and high service quality ratings.
  • D. Juneyao Air
    Juneyao Air is a Chinese full-service airline based in Shanghai that operates domestic and international flights, primarily across Asia and to select long-haul destinations.
  • E. Fuzhou Airlines
    Fuzhou Airlines is a Chinese regional airline based in Fuzhou, Fujian Province, operating domestic passenger services as part of the HNA Group network.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01dbb308190bbbbd5a18e26451e completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.