Triple

T4678943
Position Surface form Disambiguated ID Type / Status
Subject Jan Peter Balkenende E103749 entity
Predicate residence P75 FINISHED
Object Capelle aan den IJssel E173315 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: Capelle aan den IJssel | Statement: [Jan Peter Balkenende, residence, Capelle aan den IJssel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capelle aan den IJssel
Context triple: [Jan Peter Balkenende, residence, Capelle aan den IJssel]
  • A. Capelle aan den IJssel chosen
    Capelle aan den IJssel is a suburban city in the western Netherlands, located just east of Rotterdam along the river IJssel.
  • B. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • C. Kop van Schouwen
    Kop van Schouwen is a large coastal dune and forest nature reserve on the island of Schouwen-Duiveland in the Dutch province of Zeeland, known for its varied landscapes and rich biodiversity.
  • D. Westkapelle
    Westkapelle is a coastal village in the Dutch province of Zeeland, known for its dikes, beaches, and World War II history.
  • E. Naaldwijk
    Naaldwijk is a town in the Westland municipality of the western Netherlands, known for its extensive greenhouse horticulture and flower industry.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636acffc819094e03c5bb53203d8 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39ca8f6081909aecde545f211bb9 completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:16 p.m.