Triple

T18171764
Position Surface form Disambiguated ID Type / Status
Subject National Park De Biesbosch E435044 entity
Predicate locatedNear P294 FINISHED
Object Drimmelen 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: Drimmelen | Statement: [National Park De Biesbosch, locatedNear, Drimmelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drimmelen
Context triple: [National Park De Biesbosch, locatedNear, Drimmelen]
  • A. Drimmelen chosen
    Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
  • B. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • C. Grobbendonk
    Grobbendonk is a municipality in the Belgian province of Antwerp, known as the birthplace of legendary cyclist Rik Van Looy.
  • D. Lindenholt
    Lindenholt is a residential neighborhood in the Dutch city of Nijmegen, known as part of the larger Dukenburg area.
  • E. Wemmel
    Wemmel is a municipality in the Flemish Brabant province of Belgium, located just northwest of Brussels and known for its suburban residential character.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56190c8190a3644333f9050a10 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.