Triple

T1722010
Position Surface form Disambiguated ID Type / Status
Subject Airbus A300 E37411 entity
Predicate usedBy P260 FINISHED
Object UPS Airlines E87866 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: UPS Airlines | Statement: [Airbus A300, usedBy, UPS Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UPS Airlines
Context triple: [Airbus A300, usedBy, UPS Airlines]
  • A. UPS Airlines chosen
    UPS Airlines is a major American cargo airline and the air freight division of United Parcel Service, operating a global network of package and logistics flights.
  • B. United Express
    United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
  • C. 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.
  • D. Porter Airlines
    Porter Airlines is a Canadian regional airline known for its short-haul flights, premium-feel service, and primary operations from downtown Toronto.
  • E. US Airways
    US Airways was a major American airline that operated domestic and international flights before ultimately combining with American Airlines to form one of the world’s largest carriers.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635703dc8190809260de43b72ea3 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aeca12881908efad5991bb0f12b completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.