Triple

T9713334
Position Surface form Disambiguated ID Type / Status
Subject WZ E235073 entity
Predicate assignedTo P3151 FINISHED
Object Red Wings Airlines E42417 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: Red Wings Airlines | Statement: [WZ, assignedTo, Red Wings Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Wings Airlines
Context triple: [WZ, assignedTo, Red Wings Airlines]
  • A. Red Wings Airlines chosen
    Red Wings Airlines is a Russian passenger airline that operates scheduled and charter flights, primarily within Russia and to nearby international destinations.
  • B. Globus Airlines
    Globus Airlines is a Russian airline that operated passenger services, primarily within Russia and nearby regions, as part of the S7 Group.
  • C. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • D. Great Lakes Airlines
    Great Lakes Airlines was a regional airline in the United States that primarily operated commuter flights to smaller communities across the Midwest and Western states.
  • E. Maddux Air Lines
    Maddux Air Lines was an early American airline of the late 1920s that operated scheduled passenger services, notably in California, and later merged into Transcontinental Air Transport.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e087a1c8190aa62c910f88e8516 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.