Triple

T13752315
Position Surface form Disambiguated ID Type / Status
Subject Embraer 175 E330382 entity
Predicate notableOperator 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: [Embraer 175, notableOperator, United Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Express
Context triple: [Embraer 175, notableOperator, 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. Airlink Express
    Airlink Express is a former dedicated airport bus service that connected Dublin Airport with central Dublin, operated by the city’s public transport company Dublin Bus.
  • D. 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.
  • E. Shuttle America
    Shuttle America was a U.S. regional airline that operated feeder flights for major carriers under various brand agreements before ceasing operations.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8560614819085958205637f3863 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:09 p.m.