Triple

T9259890
Position Surface form Disambiguated ID Type / Status
Subject Trans States Airlines E222545 entity
Predicate operatedFor P3679 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: [Trans States Airlines, operatedFor, United Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Express
Context triple: [Trans States Airlines, operatedFor, 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07160e408190be4bd7b757260a0e completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bfb7dfc8190bc337a54083e0dd9 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.