Triple

T4816422
Position Surface form Disambiguated ID Type / Status
Subject Oosterscheldekering E107598 entity
Predicate locatedNear P294 FINISHED
Object Schouwen-Duiveland E101414 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: Schouwen-Duiveland | Statement: [Oosterscheldekering, locatedNear, Schouwen-Duiveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schouwen-Duiveland
Context triple: [Oosterscheldekering, locatedNear, Schouwen-Duiveland]
  • A. Schouwen-Duiveland chosen
    Schouwen-Duiveland is a coastal municipality and island in the southwest of the Netherlands known for its beaches, nature reserves, and water sports tourism.
  • B. Kennemerland
    Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
  • C. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • D. Zeeland
    Zeeland is a coastal province in the southwest of the Netherlands, known for its islands, peninsulas, and extensive dike and flood defense systems.
  • E. Ameland
    Ameland is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination in the northern Netherlands.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097a5c6a4819082f4b9bf113ea33b completed March 23, 2026, 1:30 a.m.
Created at: March 20, 2026, 1:23 p.m.