Triple

T17052956
Position Surface form Disambiguated ID Type / Status
Subject Borne E413746 entity
Predicate locatedOn P40 FINISHED
Object Bornsebeek 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: Bornsebeek | Statement: [Borne, locatedOn, Bornsebeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornsebeek
Context triple: [Borne, locatedOn, Bornsebeek]
  • A. Groesbeek
    Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • B. Vlezenbeek
    Vlezenbeek is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to Brussels.
  • C. Boortmeerbeek
    Boortmeerbeek is a municipality in the Flemish Brabant province of Belgium, situated between Leuven and Mechelen.
  • D. Schipbeek chosen
    Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
  • E. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
Created at: April 10, 2026, 5:34 a.m.