Triple

T21948768
Position Surface form Disambiguated ID Type / Status
Subject Zhengzhou Xinzheng International Airport E542005 entity
Predicate focusCityFor P164 FINISHED
Object Tianjin 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: Tianjin Airlines | Statement: [Zhengzhou Xinzheng International Airport, focusCityFor, Tianjin Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianjin Airlines
Context triple: [Zhengzhou Xinzheng International Airport, focusCityFor, Tianjin Airlines]
  • A. Tianjin Airlines chosen
    Tianjin Airlines is a Chinese regional and domestic carrier that operates passenger and cargo services across China and select international destinations.
  • B. Beijing Capital Airlines
    Beijing Capital Airlines is a Chinese airline based in Beijing that operates domestic and international passenger services as a subsidiary of Hainan Airlines.
  • 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. Qingdao Airlines
    Qingdao Airlines is a Chinese regional airline that operates domestic passenger services across China.
  • E. 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.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243a2f788190bd4625fa79888696 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.