Triple

T18040609
Position Surface form Disambiguated ID Type / Status
Subject Ambrosius Bosschaert the Elder E431639 entity
Predicate workLocation P7 FINISHED
Object Breda 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: Breda | Statement: [Ambrosius Bosschaert the Elder, workLocation, Breda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breda
Context triple: [Ambrosius Bosschaert the Elder, workLocation, Breda]
  • A. Breda
    Breda is an Italian industrial company best known for manufacturing railway rolling stock, including trains and trams used in transit systems worldwide.
  • B. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • C. Breda, Netherlands chosen
    Breda, Netherlands is a historic city in the southern Dutch province of North Brabant, known for its medieval architecture, former status as a military stronghold, and vibrant cultural life.
  • D. Berghem
    Berghem is a village in the Dutch province of North Brabant that is now administratively part of the municipality of Oss.
  • E. Heverlee
    Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bfece6448190b4ba96075715bcef completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.