Triple

T4247049
Position Surface form Disambiguated ID Type / Status
Subject Wizz Air E95554 entity
Predicate ICAOcode P419 FINISHED
Object WZZ
WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
 E424994 NE FINISHED

How this triple was built (4 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: [Wizz Air, ICAOcode, WZZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WZZ
Context triple: [Wizz Air, ICAOcode, WZZ]
  • A. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • B. ŻZW
    ŻZW was a Jewish underground resistance organization in Nazi-occupied Poland, best known for its significant role in the 1943 Warsaw Ghetto Uprising.
  • C. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • D. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • E. ŻW
    ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WZZ
Triple: [Wizz Air, ICAOcode, WZZ]
Generated description
WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WZZ
Target entity description: WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
  • A. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • B. ŻZW
    ŻZW was a Jewish underground resistance organization in Nazi-occupied Poland, best known for its significant role in the 1943 Warsaw Ghetto Uprising.
  • C. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • D. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • E. ŻW
    ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
  • F. None of above. chosen

Provenance (5 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9b64ac81908dc44eaae6829b50 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87c033881908e0cf9fdfecaf36a completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a925b8e881908338dc0620b18734 completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5ad224c848190b1ce76d61fc1d564 completed March 14, 2026, 6:46 p.m.
Created at: March 12, 2026, 11:05 p.m.