Triple

T8794567
Position Surface form Disambiguated ID Type / Status
Subject N208 road E209255 entity
Predicate passesThrough P225 FINISHED
Object Velsen-Zuid E83948 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: Velsen-Zuid | Statement: [N208 road, passesThrough, Velsen-Zuid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velsen-Zuid
Context triple: [N208 road, passesThrough, Velsen-Zuid]
  • A. Velsen chosen
    Velsen is a municipality in the province of North Holland in the Netherlands, known for the port city of IJmuiden and its major steel industry.
  • B. Noordwijkerhout
    Noordwijkerhout is a town in South Holland, Netherlands, known for its bulb flower fields and role in the Dutch "Dune and Bulb Region."
  • C. Velp
    Velp is a village in the Dutch province of Gelderland, near Arnhem, known as a gateway to the scenic Veluwezoom National Park.
  • D. Voorhout
    Voorhout is a village in South Holland, Netherlands, that forms part of the municipality of Teylingen.
  • E. Zuidvelde
    Zuidvelde is a small village in the municipality of Noordenveld in the Dutch province of Drenthe.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa0c6008190a5c4d87510ad5bbd completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f532ed48190a21996f865428831 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.