Triple

T14996683
Position Surface form Disambiguated ID Type / Status
Subject Lanzhou Zhongchuan International Airport E373974 entity
Predicate isHubFor P423 FINISHED
Object Longhao Airlines E466400 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: Longhao Airlines | Statement: [Lanzhou Zhongchuan International Airport, isHubFor, Longhao Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longhao Airlines
Context triple: [Lanzhou Zhongchuan International Airport, isHubFor, Longhao Airlines]
  • A. Lanmei Airlines
    Lanmei Airlines is a Cambodian low-cost carrier that operates regional flights across Southeast and East Asia.
  • B. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • C. Donghai Airlines chosen
    Donghai Airlines is a Chinese passenger and cargo airline based in Shenzhen that operates domestic and regional flights.
  • D. 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.
  • E. Mandarin Airlines
    Mandarin Airlines is a Taiwanese regional airline that operates domestic and short-haul international flights, primarily serving secondary routes within Taiwan and nearby Asian destinations.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef888a7988190837f3f4b8d340e04 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 2:53 a.m.