Triple

T20736362
Position Surface form Disambiguated ID Type / Status
Subject Oude Kwaremont E509719 entity
Predicate locatedIn P40 FINISHED
Object Kluisbergen 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: Kluisbergen | Statement: [Oude Kwaremont, locatedIn, Kluisbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kluisbergen
Context triple: [Oude Kwaremont, locatedIn, Kluisbergen]
  • A. Kluisbergen chosen
    Kluisbergen is a municipality in the Belgian province of East Flanders, known for its scenic hilly landscapes and cycling routes in the Flemish Ardennes.
  • B. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • C. Bergeijk
    Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • D. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • E. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20a02d48190bba22d1bdbeb370d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:31 p.m.