Triple

T1135033
Position Surface form Disambiguated ID Type / Status
Subject North Brabant E23119 entity
Predicate containsCity P294 FINISHED
Object Breda E151867 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: Breda | Statement: [North Brabant, containsCity, Breda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breda
Context triple: [North Brabant, containsCity, Breda]
  • A. Breda chosen
    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.
  • B. Arnhem
    Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
  • C. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • D. Dendermonde
    Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
  • E. Arnhemmer
    An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbfffaa48190b2534ff4da3544ce completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace54f52988190b25c35271721c3ee completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:44 p.m.