Triple

T15531047
Position Surface form Disambiguated ID Type / Status
Subject Rijnmond E370216 entity
Predicate hasCity P316 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: [Rijnmond, hasCity, Capelle aan den IJssel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capelle aan den IJssel
Context triple: [Rijnmond, hasCity, 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. Passewaaij
    Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
  • D. Colijnsplaat
    Colijnsplaat is a small coastal village in the Dutch province of Zeeland, known for its fishing harbor and scenic location on the Oosterschelde estuary.
  • E. 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.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:06 a.m.