Triple

T43211
Position Surface form Disambiguated ID Type / Status
Subject Delta Air Lines E848 entity
Predicate memberOf P10 FINISHED
Object SkyTeam Cargo E4870 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: SkyTeam Cargo | Statement: [Delta Air Lines, memberOf, SkyTeam Cargo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyTeam Cargo
Context triple: [Delta Air Lines, memberOf, SkyTeam Cargo]
  • A. SkyTeam chosen
    SkyTeam is a global airline alliance that brings together multiple international carriers to coordinate routes, services, and frequent flyer benefits.
  • B. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • C. American Airlines
    American Airlines is a major U.S.-based airline and one of the world's largest carriers, operating extensive domestic and international routes.
  • D. Delta Air Lines
    Delta Air Lines is a major U.S.-based global airline headquartered in Atlanta, known for its extensive domestic and international route network and membership in the SkyTeam alliance.
  • E. Southwest Airlines
    Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae236548190bd225d125f23e6c7 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab4a9008190ba5c0f3389e348c0 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.