Triple

T15109702
Position Surface form Disambiguated ID Type / Status
Subject Bell foundry Eijsbouts E360878 entity
Predicate location P40 FINISHED
Object Asten, Netherlands E154400 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: Asten, Netherlands | Statement: [Bell foundry Eijsbouts, location, Asten, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asten, Netherlands
Context triple: [Bell foundry Eijsbouts, location, Asten, Netherlands]
  • A. Asten, Netherlands chosen
    Asten is a town in the Dutch province of North Brabant known for its bell foundry and carillon manufacturing industry.
  • B. Nootdorp, Netherlands
    Nootdorp is a village in the Dutch province of South Holland, now part of the municipality of Pijnacker-Nootdorp, known for its suburban character near The Hague.
  • C. Bilthoven, Netherlands
    Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb of Utrecht and home to several national research institutes.
  • D. Zundert, Netherlands
    Zundert, Netherlands is a small Dutch town in North Brabant best known as the birthplace of painter Vincent van Gogh.
  • E. Waalwijk, Netherlands
    Waalwijk, Netherlands is a town in the province of North Brabant known for its historical leather and shoe industry and its location between Tilburg and the River Maas.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe2369881908c7ebbad412d9000 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:05 a.m.