Triple

T22298297
Position Surface form Disambiguated ID Type / Status
Subject A77 motorway (Netherlands) E551181 entity
Predicate locatedNear P294 FINISHED
Object Boxmeer 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: Boxmeer | Statement: [A77 motorway (Netherlands), locatedNear, Boxmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boxmeer
Context triple: [A77 motorway (Netherlands), locatedNear, Boxmeer]
  • A. Boxmeer chosen
    Boxmeer is a town in the Dutch province of North Brabant, known historically as a former municipality and now part of the Land van Cuijk region.
  • B. Westzaan
    Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
  • C. Eemhaven
    Eemhaven is a major container and short-sea shipping terminal area within the Port of Rotterdam in the Netherlands.
  • D. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • E. Noorderhaaks
    Noorderhaaks is a small, uninhabited sandbar island off the Dutch coast, forming the westernmost part of the West Frisian Islands archipelago.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572200c88190b9413286136fef15 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.