Triple

T1218705
Position Surface form Disambiguated ID Type / Status
Subject Oude Maas E26167 entity
Predicate separates P1175 FINISHED
Object IJsselmonde E210458 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: IJsselmonde | Statement: [Oude Maas, separates, IJsselmonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IJsselmonde
Context triple: [Oude Maas, separates, IJsselmonde]
  • A. IJsselmonde chosen
    IJsselmonde is an island and borough in the Dutch province of South Holland, located near Rotterdam and bordered by several major rivers.
  • B. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • C. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • D. Port of Nijmegen
    The Port of Nijmegen is an inland port in the Dutch city of Nijmegen that serves as an important logistics and transport hub along the River Waal.
  • E. Zaanstad
    Zaanstad is a municipality in the province of North Holland in the Netherlands, known for its historic windmills, industrial heritage, and the picturesque Zaanse Schans area.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be08157c8190b248bb75b922644f completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab57c8c81908b1dbdaf7ba4b29b completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:46 p.m.