Triple

T3372354
Position Surface form Disambiguated ID Type / Status
Subject Breukelen (Netherlands) E70983 entity
Predicate partOf P40 FINISHED
Object region Vechtstreek E260259 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: region Vechtstreek | Statement: [Breukelen (Netherlands), partOf, region Vechtstreek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: region Vechtstreek
Context triple: [Breukelen (Netherlands), partOf, region Vechtstreek]
  • A. Gooi en Vechtstreek region chosen
    The Gooi en Vechtstreek region is a scenic and affluent area in the Netherlands known for its historic towns, lakes, and natural landscapes east of Amsterdam.
  • B. Bollenstreek
    Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
  • C. Veghel
    Veghel is a town in the southern Netherlands known as an industrial and logistics hub within the province of North Brabant.
  • D. Strandvliet
    Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
  • E. Vecht
    The Vecht is a Dutch river known for flowing through the province of Utrecht past historic towns, castles, and scenic landscapes before reaching the IJsselmeer.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.