Triple

T9582894
Position Surface form Disambiguated ID Type / Status
Subject US Airways Express E231215 entity
Predicate operatedBy P86 FINISHED
Object Republic Airways E147997 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: Republic Airways | Statement: [US Airways Express, operatedBy, Republic Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic Airways
Context triple: [US Airways Express, operatedBy, Republic Airways]
  • A. Republic Airways chosen
    Republic Airways is a U.S. regional airline that operates feeder flights for major carriers under various brand agreements.
  • B. Atlas Air
    Atlas Air is a major American cargo and charter airline specializing in worldwide air freight and ACMI (Aircraft, Crew, Maintenance, and Insurance) services for airlines, logistics companies, and the U.S. military.
  • C. Mesa Air Group
    Mesa Air Group is an American regional airline holding company that operates and manages Mesa Airlines and other aviation-related businesses.
  • D. West Air
    West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
  • E. Atlantic Aviation
    Atlantic Aviation is a major U.S. fixed-base operator (FBO) chain that provides fueling, hangar, and ground services for private and business aviation at numerous airports nationwide.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cebaf081908033536a53fbf668 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16176ccf081908eb079ddd762ba28 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.