Triple

T17454512
Position Surface form Disambiguated ID Type / Status
Subject W6 E424993 entity
Predicate airlineICAOCode P26821 FINISHED
Object WZZ NE NERFINISHED

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: WZZ | Statement: [W6, airlineICAOCode, WZZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WZZ
Context triple: [W6, airlineICAOCode, WZZ]
  • A. WZZ chosen
    WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
  • B. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • C. WZE
    WZE is a Polish defense electronics company specializing in the development, production, and modernization of military electronic systems and equipment.
  • D. ZWWW
    ZWWW is the ICAO airport code for Ürümqi Diwopu International Airport in Xinjiang, China.
  • E. WZU
    WZU is a Polish defense industry company specializing in the maintenance, modernization, and production of military equipment and armaments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514129f08190ae7581d2915a0373 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.