Triple

T20163131
Position Surface form Disambiguated ID Type / Status
Subject Noord/Zuidlijn E491763 entity
Predicate hasStation P35 FINISHED
Object Centraal Station 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: Centraal Station | Statement: [Noord/Zuidlijn, hasStation, Centraal Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centraal Station
Context triple: [Noord/Zuidlijn, hasStation, Centraal Station]
  • A. Utrecht Central Station
    Utrecht Central Station is the main railway hub of the city of Utrecht in the Netherlands and one of the busiest train stations in the country.
  • B. Amsterdam Centraal metro station chosen
    Amsterdam Centraal metro station is a major public transport hub in Amsterdam, integrating metro, train, tram, and bus services beneath and around the city’s main railway station.
  • C. Gare du Midi – Zuidstation
    Gare du Midi – Zuidstation is a major Brussels transport hub that serves as both a central railway station and an important interchange on the Brussels Metro network.
  • D. Noord station
    Noord station is the northern terminus of Amsterdam’s North–South metro line, serving as a major public transport hub for the city’s northern districts.
  • E. Daan station
    Daan station is a metro station in Taipei, Taiwan, serving as an interchange hub on the city’s rapid transit network.
  • 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.