Triple

T1702529
Position Surface form Disambiguated ID Type / Status
Subject Brussels Airport E36797 entity
Predicate hasCargoOperator P22785 FINISHED
Object DHL Aviation E177498 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: DHL Aviation | Statement: [Brussels Airport, hasCargoOperator, DHL Aviation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DHL Aviation
Context triple: [Brussels Airport, hasCargoOperator, DHL Aviation]
  • A. DHL Aviation chosen
    DHL Aviation is the air cargo division of DHL, operating a global network of freight flights that connect major logistics hubs worldwide.
  • B. Orix Aviation
    Orix Aviation is a global aircraft leasing and asset management company that provides financing and fleet solutions to airlines worldwide.
  • C. Peach Aviation
    Peach Aviation is a Japanese low-cost airline based in Osaka that operates domestic and international flights primarily across East Asia.
  • D. Mahan Air
    Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
  • E. Republic Airways
    Republic Airways is a U.S. regional airline that operates feeder flights for major carriers under various brand agreements.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f0eb408190809d1f6496d38e0b completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8acc65588190b09cc3528ff19653 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.