Triple

T4484163
Position Surface form Disambiguated ID Type / Status
Subject N57 E107194 entity
Predicate passesNear P416 FINISHED
Object Vrouwenpolder E374629 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: Vrouwenpolder | Statement: [N57, passesNear, Vrouwenpolder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrouwenpolder
Context triple: [N57, passesNear, Vrouwenpolder]
  • A. Vrouwenpolder chosen
    Vrouwenpolder is a coastal village in the Dutch province of Zeeland, known for its wide beaches and location between the North Sea and the Veerse Meer.
  • B. Ooijpolder
    Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
  • C. ’s-Gravenpolder
    ’s-Gravenpolder is a village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • D. Vierpolders
    Vierpolders is a village in the Dutch province of South Holland, known for its rural character and location near the town of Brielle.
  • E. Voorne-Putten
    Voorne-Putten is an island and region in the province of South Holland in the Netherlands, known for its mix of coastal landscapes, nature reserves, and historic towns.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52a54c6c8190a7421bea6e3c00f1 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd679792f48190a19ce4ab91cab3bc completed March 20, 2026, 3:28 p.m.
Created at: March 20, 2026, 12:58 p.m.