Triple

T20178913
Position Surface form Disambiguated ID Type / Status
Subject Holendrecht railway station E492672 entity
Predicate operator P179 FINISHED
Object GVB 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: GVB | Statement: [Holendrecht railway station, operator, GVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GVB
Context triple: [Holendrecht railway station, operator, GVB]
  • A. GVB chosen
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • B. GVB zone 5700
    GVB zone 5700 is a public transport fare zone in Amsterdam’s central area that includes Nieuwmarkt metro station.
  • C. GVB Amsterdam
    GVB Amsterdam is the primary public transport operator in Amsterdam, running the city’s trams, buses, metros, and ferries.
  • D. GVB bus network
    The GVB bus network is Amsterdam’s municipal bus system, providing extensive urban and regional public transport connections throughout the city and surrounding areas.
  • E. GVB zone 5711
    GVB zone 5711 is a public transport fare zone in Amsterdam that includes Bullewijk metro station within the GVB ticketing system.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ed07c8819091bd9ffda237a91c completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.