Triple

T11954578
Position Surface form Disambiguated ID Type / Status
Subject Utrecht–Nijmegen railway E284517 entity
Predicate passesThrough P225 FINISHED
Object Zaltbommel 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: Zaltbommel | Statement: [Utrecht–Nijmegen railway, passesThrough, Zaltbommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaltbommel
Context triple: [Utrecht–Nijmegen railway, passesThrough, Zaltbommel]
  • A. Zaltbommel chosen
    Zaltbommel is a historic Dutch town in the province of Gelderland, known for its medieval center and strategic location along the River Waal.
  • B. Kortenhoef
    Kortenhoef is a village in the Dutch province of North Holland, known for its lakes, peatlands, and scenic natural surroundings.
  • C. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • D. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • E. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
Created at: April 8, 2026, 9:45 p.m.