Triple

T11204279
Position Surface form Disambiguated ID Type / Status
Subject CSZ E265119 entity
Predicate airlineCallsign P13478 FINISHED
Object SHENZHEN AIR E53450 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: SHENZHEN AIR | Statement: [CSZ, airlineCallsign, SHENZHEN AIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHENZHEN AIR
Context triple: [CSZ, airlineCallsign, SHENZHEN AIR]
  • A. Shenzhen Airlines chosen
    Shenzhen Airlines is a major Chinese carrier based in Shenzhen that operates extensive domestic and regional flights across Asia.
  • B. Shenzhen Airport Group
    Shenzhen Airport Group is a Chinese state-owned enterprise that manages and operates Shenzhen Bao’an International Airport and related aviation infrastructure and services in the Shenzhen region.
  • C. 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.
  • 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. Donghai Airlines
    Donghai Airlines is a Chinese passenger and cargo airline based in Shenzhen that operates domestic and regional flights.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad0984e08190af9c8263cc2a079d completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.