Triple

T11437061
Position Surface form Disambiguated ID Type / Status
Subject ZVVZ USK Praha E271036 entity
Predicate sponsor P67 FINISHED
Object ZVVZ
ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
 E926109 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: ZVVZ | Statement: [ZVVZ USK Praha, sponsor, ZVVZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZVVZ
Context triple: [ZVVZ USK Praha, sponsor, ZVVZ]
  • A. ZVV
    ZVV is the Zürcher Verkehrsverbund, the integrated public transport network and fare association for the Zurich metropolitan area in Switzerland.
  • B. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • C. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • D. ZWWW
    ZWWW is the ICAO airport code for Ürümqi Diwopu International Airport in Xinjiang, China.
  • E. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • 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: ZVVZ
Triple: [ZVVZ USK Praha, sponsor, ZVVZ]
Generated description
ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZVVZ
Target entity description: ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
  • A. ZVV
    ZVV is the Zürcher Verkehrsverbund, the integrated public transport network and fare association for the Zurich metropolitan area in Switzerland.
  • B. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • C. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • D. ZWWW
    ZWWW is the ICAO airport code for Ürümqi Diwopu International Airport in Xinjiang, China.
  • E. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d38727fc8190b5daac83e03491e6 completed April 20, 2026, 7:19 a.m.
NEDg Description generation batch_69e5d5cac9108190b7756329bfa320d3 completed April 20, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69e5d7fd235081909870476cbc9817b2 completed April 20, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:35 p.m.