Triple

T99649
Position Surface form Disambiguated ID Type / Status
Subject Oneworld E2012 entity
Predicate competitor P1375 FINISHED
Object SkyTeam 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 | Statement: [Oneworld, competitor, SkyTeam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyTeam
Context triple: [Oneworld, competitor, SkyTeam]
  • A. SkyTeam chosen
    SkyTeam is a global airline alliance that brings together multiple international carriers to coordinate routes, services, and frequent flyer benefits.
  • B. Star Alliance
    Star Alliance is one of the world’s largest global airline alliances, comprising numerous member carriers that coordinate routes, schedules, and frequent-flyer benefits across an extensive international network.
  • C. Oneworld
    Oneworld is a major global airline alliance that coordinates services, schedules, and benefits among its member carriers to offer worldwide connectivity.
  • D. 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.
  • E. 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.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24ff1a8cc8190843d4c6807cebd09 completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c1e3b688190ab90ecf5f2d55e50 completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.