Triple

T7481518
Position Surface form Disambiguated ID Type / Status
Subject N59 road E176768 entity
Predicate passesThrough P225 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: [N59 road, passesThrough, Schouwen-Duiveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schouwen-Duiveland
Context triple: [N59 road, passesThrough, 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. Schouwen-Duiveland island
    Schouwen-Duiveland island is a Dutch North Sea island in the province of Zeeland, known for its coastal landscapes, beaches, and role in the Delta Works flood protection system.
  • C. Kennemerland
    Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
  • D. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • E. Hoeksche Waard
    Hoeksche Waard is a rural island and municipality in South Holland, Netherlands, known for its agricultural landscape and small 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8613eaf0c8190b33cb22dd83ee59c completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:42 p.m.