Triple

T1146784
Position Surface form Disambiguated ID Type / Status
Subject Theo van Gogh E23583 entity
Predicate workLocation P7 FINISHED
Object The Hague, Netherlands E5547 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: The Hague, Netherlands | Statement: [Theo van Gogh, workLocation, The Hague, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hague, Netherlands
Context triple: [Theo van Gogh, workLocation, The Hague, Netherlands]
  • A. The Hague chosen
    The Hague is a major Dutch city known as the seat of the Netherlands’ government and home to numerous international courts and organizations, including the International Court of Justice.
  • B. Haarlem, Netherlands
    Haarlem, Netherlands is a historic Dutch city near Amsterdam known for its medieval architecture, cultural heritage, and role as the capital of North Holland.
  • C. Enschede, Netherlands
    Enschede is a city in the eastern Netherlands known for its former textile industry, technical university, and location near the German border.
  • D. Brussels, Belgium
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad089d492881909c6ef4519c087386 completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:44 p.m.