Triple

T15812545
Position Surface form Disambiguated ID Type / Status
Subject Flemish Ardennes E383389 entity
Predicate contains P35 FINISHED
Object Zwalm E747369 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: Zwalm | Statement: [Flemish Ardennes, contains, Zwalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwalm
Context triple: [Flemish Ardennes, contains, Zwalm]
  • A. Zwalm chosen
    Zwalm is a rural municipality in East Flanders, Belgium, known for its scenic hilly landscape, watermills, and network of walking and cycling routes.
  • B. Oostzaan
    Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
  • C. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • D. Westzaan
    Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
  • E. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a069bc8190bf9504dc6c998fa2 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9993c86c8190b1d106af7537080a completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.