Triple

T21259109
Position Surface form Disambiguated ID Type / Status
Subject Warendorf district E523949 entity
Predicate containsMunicipality P852 FINISHED
Object Beelen 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: Beelen | Statement: [Warendorf district, containsMunicipality, Beelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beelen
Context triple: [Warendorf district, containsMunicipality, Beelen]
  • A. Beelen chosen
    Beelen is a small municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Münsterland region.
  • B. Groesbeek
    Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • C. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • D. Tombeek
    Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • E. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e53df88190bd6024793a0ada08 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.