Triple

T2144869
Position Surface form Disambiguated ID Type / Status
Subject Embraer ERJ 145 E47039 entity
Predicate usedBy P260 FINISHED
Object United Express E116228 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: United Express | Statement: [Embraer ERJ 145, usedBy, United Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Express
Context triple: [Embraer ERJ 145, usedBy, United Express]
  • A. United Express chosen
    United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
  • B. US Airways Express
    US Airways Express was the regional brand under which several contracted airlines operated short-haul feeder flights for US Airways in the United States.
  • C. Aviall
    Aviall is an aviation parts and services company that operates as a subsidiary of Boeing, supplying aftermarket aircraft components and logistics support to the aerospace industry.
  • D. United Airlines
    United Airlines is a major American airline and Star Alliance member known for its extensive domestic and international route network operated from multiple hubs across the United States.
  • E. Porter Airlines
    Porter Airlines is a Canadian regional airline known for its short-haul flights, premium-feel service, and primary operations from downtown Toronto.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe243e248190848bb1b86047f980 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653677ec8190ab0b044e005a9947 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.