Triple

T7679583
Position Surface form Disambiguated ID Type / Status
Subject N57 road E173954 entity
Predicate connects P390 FINISHED
Object Voorne-Putten E213647 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: Voorne-Putten | Statement: [N57 road, connects, Voorne-Putten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voorne-Putten
Context triple: [N57 road, connects, Voorne-Putten]
  • A. Voorne-Putten chosen
    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.
  • B. ’s-Gravenpolder
    ’s-Gravenpolder is a village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • C. Heinkenszand
    Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
  • D. 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.
  • E. Kop van Schouwen
    Kop van Schouwen is a large coastal dune and forest nature reserve on the island of Schouwen-Duiveland in the Dutch province of Zeeland, known for its varied landscapes and rich biodiversity.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fe2cc88190b5fd5e1378c32e5b completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9cbcc02fc8190b0f9049dffc22021 completed March 30, 2026, 1:03 a.m.
Created at: March 27, 2026, 4:01 p.m.