Triple

T1090962
Position Surface form Disambiguated ID Type / Status
Subject North Holland E24160 entity
Predicate hasPart P35 FINISHED
Object Zaanstreek E177308 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: Zaanstreek | Statement: [North Holland, hasPart, Zaanstreek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaanstreek
Context triple: [North Holland, hasPart, Zaanstreek]
  • A. Zaanstad chosen
    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.
  • B. Zuid-Beijerland
    Zuid-Beijerland is a village in the western Netherlands, located in the province of South Holland and known for its rural character within the Hoeksche Waard region.
  • C. Oud-Beijerland
    Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
  • D. IJsselvallei
    IJsselvallei is a historical region in the Netherlands centered around the valley of the river IJssel, known for its scenic landscapes and historic towns.
  • E. Schouwen-Duiveland
    Schouwen-Duiveland is a coastal municipality and island in the southwest of the Netherlands known for its beaches, nature reserves, and water sports tourism.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b980c8448190b08c3a9a7e7f4e85 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a95a7c81908ea80c0f857a8d4a completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:42 p.m.