Triple

T8641450
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Oudenaarde E204657 entity
Predicate contains P35 FINISHED
Object Oosterzele E705620 NE FINISHED

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: Oosterzele | Statement: [Arrondissement of Oudenaarde, contains, Oosterzele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oosterzele
Context triple: [Arrondissement of Oudenaarde, contains, Oosterzele]
  • A. Oosterzele chosen
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • B. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • C. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • D. Schelfhout
    Schelfhout is a Dutch surname most famously associated with 19th-century landscape painter Andreas Schelfhout.
  • E. Oost Gelre
    Oost Gelre is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4795b07081908bfc9ebf35a50f07 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb10f0881908db334cd090d3231 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.