Triple

T5648238
Position Surface form Disambiguated ID Type / Status
Subject Volkerak E124435 entity
Predicate hasNearbyInfrastructure P231 FINISHED
Object N59 road E176768 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: N59 road | Statement: [Volkerak, hasNearbyInfrastructure, N59 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N59 road
Context triple: [Volkerak, hasNearbyInfrastructure, N59 road]
  • A. N59 road chosen
    The N59 road is a regional highway in the southwestern Netherlands that connects several islands in the province of Zeeland and South Holland.
  • B. N57 road
    The N57 road is a major Dutch highway running through the southwestern Netherlands, connecting several islands and coastal regions as part of the country’s primary road network.
  • C. N52 road
    The N52 road is a major French national route serving the Longwy area in northeastern France and connecting it to the wider regional road network.
  • D. A59 road
    The A59 road is a major primary route in northern England that runs between Liverpool and York, passing through Lancashire and North Yorkshire.
  • E. A592 road
    The A592 road is a scenic route in England’s Lake District that runs along the shores of Windermere and through popular tourist areas including Bowness-on-Windermere.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d1534c8190ac4828e44300fb91 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d8cea4481908fccb8ed102b18a1 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.