Triple

T4405058
Position Surface form Disambiguated ID Type / Status
Subject Weerribben-Wieden National Park E93710 entity
Predicate nearestTown P350 FINISHED
Object Blokzijl E432813 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: Blokzijl | Statement: [Weerribben-Wieden National Park, nearestTown, Blokzijl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blokzijl
Context triple: [Weerribben-Wieden National Park, nearestTown, Blokzijl]
  • A. Blokzijl chosen
    Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
  • B. Zijdelwaard
    Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
  • C. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • D. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • E. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.