Triple

T21131979
Position Surface form Disambiguated ID Type / Status
Subject municipality of Oss E520709 entity
Predicate contains P35 FINISHED
Object Berghem 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: Berghem | Statement: [municipality of Oss, contains, Berghem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berghem
Context triple: [municipality of Oss, contains, Berghem]
  • A. Berghem chosen
    Berghem is a village in the Dutch province of North Brabant that is now administratively part of the municipality of Oss.
  • B. Breda
    Breda is an Italian industrial company best known for manufacturing railway rolling stock, including trains and trams used in transit systems worldwide.
  • C. 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.
  • D. Beringen
    Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
  • E. Beringen
    Beringen is a municipality in northern Switzerland known for its location near the Rhine and its surrounding vineyards and rural landscapes.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235668e081909bd810016ba2dd8e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.