Triple

T16061572
Position Surface form Disambiguated ID Type / Status
Subject SkyTeam E389626 entity
Predicate hasMember P10 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: [SkyTeam, hasMember, XiamenAir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XiamenAir
Context triple: [SkyTeam, hasMember, 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. Xiamen Airport Group
    Xiamen Airport Group is a Chinese airport management company that oversees the operation and development of Xiamen Gaoqi International Airport and related aviation facilities in the region.
  • D. 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.
  • 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 (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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe88a608190bc0a0cbfdb71e81d completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.