Triple

T6732929
Position Surface form Disambiguated ID Type / Status
Subject Abcoude E153679 entity
Predicate mergedIntoMunicipality P77 FINISHED
Object De Ronde Venen E310770 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: De Ronde Venen | Statement: [Abcoude, mergedIntoMunicipality, De Ronde Venen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Ronde Venen
Context triple: [Abcoude, mergedIntoMunicipality, De Ronde Venen]
  • A. De Ronde Venen chosen
    De Ronde Venen is a municipality in the Dutch province of Utrecht, known for its lakes, polders, and rural landscapes near the Randstad urban area.
  • B. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • C. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • D. Het Brandende Veen
    Het Brandende Veen is a notable work by Dutch cartographer and writer Arent Roggeveen, reflecting his engagement with 17th-century geographical and scientific interests.
  • E. Herwijnen
    Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16ba51c81908dbf56b49d8360a8 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0502d081909662028e2b40c7f3 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.