Triple

T22753879
Position Surface form Disambiguated ID Type / Status
Subject Zandvoort aan Zee railway station E562781 entity
Predicate hasStationCode P1289 FINISHED
Object Zvt
Zvt is the station code used to identify Zandvoort aan Zee railway station in the Dutch railway network.
E1551843 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: Zvt | Statement: [Zandvoort aan Zee railway station, hasStationCode, Zvt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zvt
Context triple: [Zandvoort aan Zee railway station, hasStationCode, Zvt]
  • A. ZVO
    ZVO is the Russian abbreviation for the Western Military District, one of Russia’s main strategic military commands responsible for forces in the country’s western regions.
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • D. VTZ
    VTZ is the IATA airport code for Visakhapatnam Airport, a major domestic and limited international airport serving the coastal city of Visakhapatnam in Andhra Pradesh, India.
  • E. ZVVZ
    ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
  • 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: Zvt
Triple: [Zandvoort aan Zee railway station, hasStationCode, Zvt]
Generated description
Zvt is the station code used to identify Zandvoort aan Zee railway station in the Dutch railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zvt
Target entity description: Zvt is the station code used to identify Zandvoort aan Zee railway station in the Dutch railway network.
  • A. ZVO
    ZVO is the Russian abbreviation for the Western Military District, one of Russia’s main strategic military commands responsible for forces in the country’s western regions.
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • D. VTZ
    VTZ is the IATA airport code for Visakhapatnam Airport, a major domestic and limited international airport serving the coastal city of Visakhapatnam in Andhra Pradesh, India.
  • E. ZVVZ
    ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179bb80ac8190b53a1e00704c4ff5 completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd93a308190b8e05c07a3556a71 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b909d16a881909009b416ea7ebf9b completed May 18, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0b912a093c8190991a088843e102ce completed May 18, 2026, 10:22 p.m.
Created at: April 17, 2026, 3:25 p.m.