Triple

T6302163
Position Surface form Disambiguated ID Type / Status
Subject Vijzelgracht metro station E141280 entity
Predicate hasStationCode P1289 FINISHED
Object VZL
VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
 E584589 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: VZL | Statement: [Vijzelgracht metro station, hasStationCode, VZL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VZL
Context triple: [Vijzelgracht metro station, hasStationCode, VZL]
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • C. ZEL
    ZEL is the National Rail station code assigned to Elephant & Castle station in London.
  • D. VLY
    VLY is the IATA airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • E. VLG
    VLG is the ICAO airline designator used to identify Vueling, a Spanish low-cost carrier based in Barcelona.
  • 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: VZL
Triple: [Vijzelgracht metro station, hasStationCode, VZL]
Generated description
VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VZL
Target entity description: VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • C. ZEL
    ZEL is the National Rail station code assigned to Elephant & Castle station in London.
  • D. VLY
    VLY is the IATA airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • E. VLG
    VLG is the ICAO airline designator used to identify Vueling, a Spanish low-cost carrier based in Barcelona.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e436e7ec8190a5ea470eb83ddaea completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5f3374b64819090c65e0bfdba116a completed March 27, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69c5f3d2e39c8190b579638ce8897c2d completed March 27, 2026, 3:04 a.m.
Created at: March 22, 2026, 4:27 p.m.