Triple

T14232439
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven–Breda railway E352783 entity
Predicate connectsVia P845 FINISHED
Object Breda-Prinsenbeek E812483 NE FINISHED

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: Breda-Prinsenbeek | Statement: [Eindhoven–Breda railway, connectsVia, Breda-Prinsenbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breda-Prinsenbeek
Context triple: [Eindhoven–Breda railway, connectsVia, Breda-Prinsenbeek]
  • A. Prinsenbeek chosen
    Prinsenbeek is a village in the Dutch province of North Brabant, now part of the municipality of Breda and known for its suburban character and proximity to the city.
  • B. Vierlingsbeek
    Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
  • C. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • D. Oude Schie
    Oude Schie is a historic canalized branch of the Schie River in the Netherlands, known for its role in regional transport and water management between Delft and surrounding areas.
  • E. Schelfhout
    Schelfhout is a Dutch surname most famously associated with 19th-century landscape painter Andreas Schelfhout.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281bc67c81909bb09ee4a39a0b7f completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.