Triple

T22815801
Position Surface form Disambiguated ID Type / Status
Subject Tilburg railway station E565094 entity
Predicate serves P98 FINISHED
Object city of Tilburg 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: city of Tilburg | Statement: [Tilburg railway station, serves, city of Tilburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Tilburg
Context triple: [Tilburg railway station, serves, city of Tilburg]
  • A. Tilburg chosen
    Tilburg is a city in the southern Netherlands known historically as an industrial and textile center and now as a regional cultural and educational hub.
  • B. Eindhoven
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • C. Town of Rotterdam
    The Town of Rotterdam is a suburban municipality in Schenectady County, New York, known for its residential communities and proximity to the city of Schenectady.
  • D. city of Tiel
    The city of Tiel is a historic municipality in the Dutch province of Gelderland, situated along the River Waal and known as a regional center in the Betuwe fruit-growing area.
  • E. city of Assen
    The city of Assen is the capital of the Dutch province of Drenthe, known for hosting the annual TT Assen motorcycle Grand Prix.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcb872881909a031d8560635fce completed April 29, 2026, 3:40 a.m.
Created at: April 17, 2026, 3:33 p.m.