Triple

T20302838
Position Surface form Disambiguated ID Type / Status
Subject Belgian railway line 53 E505526 entity
Predicate passesThrough P225 FINISHED
Object Opwijk 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: Opwijk | Statement: [Belgian railway line 53, passesThrough, Opwijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opwijk
Context triple: [Belgian railway line 53, passesThrough, Opwijk]
  • A. Opwijk chosen
    Opwijk is a municipality in the Flemish Brabant province of Belgium, situated in the Dutch-speaking region of Flanders.
  • B. Zijdelwaard
    Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
  • C. Passewaaij
    Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
  • D. Wijster
    Wijster is a village in the Dutch province of Drenthe, known historically for its rural character and the nearby former waste disposal site that was the scene of a 1975 train hijacking.
  • E. Noordwyk
    Noordwyk is a residential suburb located within the Midrand area of Johannesburg, South Africa.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773e0864819095d272659cd2074d completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:17 a.m.