Triple

T10412105
Position Surface form Disambiguated ID Type / Status
Subject HAECO E245415 entity
Predicate subsidiary P258 FINISHED
Object HAECO Americas E245415 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: HAECO Americas | Statement: [HAECO, subsidiary, HAECO Americas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HAECO Americas
Context triple: [HAECO, subsidiary, HAECO Americas]
  • A. HAECO chosen
    HAECO is a major aircraft engineering and maintenance, repair, and overhaul (MRO) company based in Hong Kong and a key aviation services subsidiary of the Swire group.
  • B. Huffman Aviation
    Huffman Aviation was a Florida-based flight school known for training several of the September 11 hijackers, including Marwan al-Shehhi.
  • C. Pascan Aviation
    Pascan Aviation is a Canadian regional airline based in Quebec that operates scheduled passenger services to smaller communities, primarily within the province.
  • D. Pan Am Systems
    Pan Am Systems is a privately held U.S. transportation and industrial holding company best known for owning and operating the regional freight railroad Pan Am Railways in New England.
  • E. Orix Aviation
    Orix Aviation is a global aircraft leasing and asset management company that provides financing and fleet solutions to airlines worldwide.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9084fc81909e1d46a111a1ef2b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:10 p.m.