Triple

T5261689
Position Surface form Disambiguated ID Type / Status
Subject RPA E118838 entity
Predicate assignedTo P3151 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: [RPA, assignedTo, Republic Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic Airways
Context triple: [RPA, assignedTo, 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. Peach Aviation
    Peach Aviation is a Japanese low-cost airline based in Osaka that operates domestic and international flights primarily across East Asia.
  • D. Horizon Air
    Horizon Air is a regional airline in the United States that operates short-haul flights, primarily in the Pacific Northwest, as a subsidiary of Alaska Airlines.
  • E. Frontier Airlines
    Frontier Airlines is a U.S. ultra-low-cost carrier known for its point-to-point route network, animal-themed aircraft tails, and extensive domestic service.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd0c5f48190a1be89314c59f96b completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18770e608190932d9de276e47212 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:50 p.m.