Triple

T20725629
Position Surface form Disambiguated ID Type / Status
Subject Waalwijk E509426 entity
Predicate hasSettlement P1068 FINISHED
Object Vrijhoeve-Capelle 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: Vrijhoeve-Capelle | Statement: [Waalwijk, hasSettlement, Vrijhoeve-Capelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrijhoeve-Capelle
Context triple: [Waalwijk, hasSettlement, Vrijhoeve-Capelle]
  • A. Capelle aan den IJssel
    Capelle aan den IJssel is a suburban city in the western Netherlands, located just east of Rotterdam along the river IJssel.
  • B. Capelle chosen
    Capelle is a small village in the Dutch municipality of Waalwijk in the province of North Brabant, Netherlands.
  • C. Vollenhove
    Vollenhove is a historic town in the Dutch province of Overijssel, known for its former status as a regional administrative and noble center with several notable estates and churches.
  • D. Zevenhoven
    Zevenhoven is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • E. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e7aabc819084f9e9fd45e877fd completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:29 p.m.