Triple

T20163135
Position Surface form Disambiguated ID Type / Status
Subject Noord/Zuidlijn E491763 entity
Predicate hasStation P35 FINISHED
Object Europaplein 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: Europaplein | Statement: [Noord/Zuidlijn, hasStation, Europaplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europaplein
Context triple: [Noord/Zuidlijn, hasStation, Europaplein]
  • A. Europaplein chosen
    Europaplein is a metro station in Amsterdam that serves as one of the stops on the city’s North–South Line (Metro line 52).
  • B. Vlamingstraat
    Vlamingstraat is a central street in Bruges, Belgium, known for its historic buildings, shops, and proximity to the city’s main square, the Markt.
  • C. Koningsplein
    Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
  • D. Koningsplein
    Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
  • E. Turnhoutsebaan
    Turnhoutsebaan is a major thoroughfare and commercial street running through the Antwerp district of Borgerhout in Belgium.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66841b7d88190af3606f762d87b24 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.