Triple

T5535344
Position Surface form Disambiguated ID Type / Status
Subject Martinus Nijhoff Bridge E145147 entity
Predicate locatedNear P294 FINISHED
Object Zaltbommel E516902 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: Zaltbommel | Statement: [Martinus Nijhoff Bridge, locatedNear, Zaltbommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaltbommel
Context triple: [Martinus Nijhoff Bridge, locatedNear, 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. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • C. 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.
  • D. 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.
  • E. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01faed1d08190b6a57faedaf1b56a completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf883201d481909efd2f57e852a175 completed April 3, 2026, 9:28 a.m.
Created at: March 22, 2026, 3:34 p.m.