Triple

T22523429
Position Surface form Disambiguated ID Type / Status
Subject Bussum E556836 entity
Predicate railwayStation P918 FINISHED
Object Naarden-Bussum NE NERFINISHED

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: Naarden-Bussum | Statement: [Bussum, railwayStation, Naarden-Bussum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naarden-Bussum
Context triple: [Bussum, railwayStation, Naarden-Bussum]
  • A. Naarden-Bussum chosen
    Naarden-Bussum is a railway station in the Netherlands that serves the towns of Naarden and Bussum in the province of North Holland.
  • B. Naarden
    Naarden is a historic Dutch fortified town in North Holland, renowned for its well-preserved star-shaped fortifications and moats.
  • C. Bodegraven-Reeuwijk
    Bodegraven-Reeuwijk is a Dutch municipality known for its rural landscapes, waterways, and cheese-producing heritage in the western Netherlands.
  • D. Oisterwijk
    Oisterwijk is a town in the Dutch province of North Brabant known for its historic center and surrounding forest and fen landscapes.
  • E. Houten
    Houten is a Dutch town in the province of Utrecht, known for its bicycle-friendly urban design and as the home of the Royal Dutch Mint.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.