Triple

T6894562
Position Surface form Disambiguated ID Type / Status
Subject MF E159137 entity
Predicate airlineName P9049 FINISHED
Object XiamenAir E30720 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: XiamenAir | Statement: [MF, airlineName, XiamenAir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XiamenAir
Context triple: [MF, airlineName, XiamenAir]
  • A. XiamenAir chosen
    XiamenAir is a Chinese airline based in Xiamen that operates domestic and international flights across Asia and beyond.
  • B. Xiamen Airlines
    Xiamen Airlines is a major Chinese passenger airline based in Xiamen, Fujian, operating extensive domestic and regional routes, including services across East and Southeast Asia.
  • 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. Kunming Airlines
    Kunming Airlines is a Chinese domestic carrier based in Kunming, Yunnan Province, operating passenger and cargo services to destinations across China.
  • E. 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.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d931da24819096b9b205f2c0ebb0 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7511fbe808190bc3dfb7c34a7cbb6 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:24 p.m.