Triple

T7681780
Position Surface form Disambiguated ID Type / Status
Subject Ella van Heemstra E174011 entity
Predicate residence P75 FINISHED
Object Arnhem, Netherlands E12070 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: Arnhem, Netherlands | Statement: [Ella van Heemstra, residence, Arnhem, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnhem, Netherlands
Context triple: [Ella van Heemstra, residence, Arnhem, Netherlands]
  • A. Arnhem chosen
    Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
  • B. Roermond, Netherlands
    Roermond, Netherlands is a historic city in the southeastern province of Limburg known for its medieval architecture, riverside setting, and role as a regional commercial and cultural center.
  • C. Apeldoorn, Netherlands
    Apeldoorn is a city in the province of Gelderland in the central Netherlands, known for the royal palace Het Loo and its surrounding forests and parks.
  • D. 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.
  • E. Asten, Netherlands
    Asten is a town in the Dutch province of North Brabant known for its bell foundry and carillon manufacturing industry.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25304b88190920c2e4908925ce2 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.