Triple

T18133806
Position Surface form Disambiguated ID Type / Status
Subject West Betuwe E434083 entity
Predicate hasBorderWith P224 FINISHED
Object Buren 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: Buren | Statement: [West Betuwe, hasBorderWith, Buren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buren
Context triple: [West Betuwe, hasBorderWith, Buren]
  • A. Buren chosen
    Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
  • B. Buren
    Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
  • C. Bracq
    Bracq is a French surname most notably associated with Paul Bracq, a renowned automotive designer known for his influential work with Mercedes-Benz and BMW.
  • D. Peynet
    Peynet is the surname of French illustrator Raymond Peynet, best known for his romantic "lovers" drawings that became iconic in mid-20th-century France.
  • E. Baulmes
    Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de055c608190a090c2737904e5f9 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.