Triple

T20766601
Position Surface form Disambiguated ID Type / Status
Subject Veldhoven E511113 entity
Predicate borderedBy P224 FINISHED
Object Waalre 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: Waalre | Statement: [Veldhoven, borderedBy, Waalre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waalre
Context triple: [Veldhoven, borderedBy, Waalre]
  • A. Waalre chosen
    Waalre is a municipality and village in the southern Netherlands, located in the province of North Brabant near the city of Eindhoven.
  • B. Bierbeek
    Bierbeek is a municipality in the Flemish Brabant province of Belgium, located near the city of Leuven.
  • C. Overijse
    Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
  • D. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • E. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24ceab8819094e331c57abe6879 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.