Triple

T9562686
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi CRJ700 E230711 entity
Predicate typicalOperators P179 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: [Mitsubishi CRJ700, typicalOperators, United Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Express
Context triple: [Mitsubishi CRJ700, typicalOperators, 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. Travelers Express
    Travelers Express was a financial services company that evolved into or was a predecessor of MoneyGram, helping establish its global money transfer business.
  • D. Shuttle America
    Shuttle America was a U.S. regional airline that operated feeder flights for major carriers under various brand agreements before ceasing operations.
  • E. Western Air Express
    Western Air Express was an early American airline that operated passenger and mail services in the western United States during the late 1920s and 1930s.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9965e7b881909df98e933db38092 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a014a48190925d52967e1fbffe completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.