Triple

T1561153
Position Surface form Disambiguated ID Type / Status
Subject IJmeer E33325 entity
Predicate hasShoreline P6651 FINISHED
Object Almere E434809 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: Almere | Statement: [IJmeer, hasShoreline, Almere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almere
Context triple: [IJmeer, hasShoreline, Almere]
  • A. Almere chosen
    Almere is a modern planned city in the Dutch province of Flevoland, known for its rapid growth, contemporary architecture, and role as a major commuter town near Amsterdam.
  • B. Amstelveen
    Amstelveen is a suburban municipality in the province of North Holland in the Netherlands, located just south of Amsterdam and known for its residential character and proximity to major cultural and economic centers.
  • C. Alkmaar
    Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
  • D. Zoetermeer
    Zoetermeer is a modern, rapidly grown satellite city of The Hague in the western Netherlands, known for its residential neighborhoods and light-rail connections.
  • E. Purmerend
    Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088710a881909a1226e4b54311b8 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69c74872582c81908c64a9bf925f67c6 completed March 28, 2026, 3:18 a.m.
Created at: March 4, 2026, 7:27 p.m.