Triple

T19244911
Position Surface form Disambiguated ID Type / Status
Subject U-OV region E481224 entity
Predicate hasCentralHub P2413 FINISHED
Object Utrecht 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: Utrecht Centraal station | Statement: [U-OV region, hasCentralHub, Utrecht Centraal station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utrecht Centraal station
Context triple: [U-OV region, hasCentralHub, Utrecht Centraal station]
  • A. Utrecht Centraal chosen
    Utrecht Centraal is the largest and busiest railway station in the Netherlands, serving as a major national and international transport hub.
  • B. 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.
  • C. Rotterdam Centraal station
    Rotterdam Centraal station is a major railway terminal in the Dutch city of Rotterdam, serving as a key national and international transport hub.
  • D. Den Haag Centraal railway station
    Den Haag Centraal railway station is the main railway hub of The Hague in the Netherlands, serving as a major national and regional transport interchange.
  • E. 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.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf47820819081e8b6af852bb1dd completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:27 p.m.