Triple

T20902902
Position Surface form Disambiguated ID Type / Status
Subject Borger-Odoorn E514714 entity
Predicate contains P35 FINISHED
Object Bronnegerveen
Bronnegerveen is a small village in the Dutch province of Drenthe.
E1460224 NE FINISHED

How this triple was built (4 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: Bronnegerveen | Statement: [Borger-Odoorn, contains, Bronnegerveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronnegerveen
Context triple: [Borger-Odoorn, contains, Bronnegerveen]
  • A. Daarlerveen
    Daarlerveen is a small village in the Dutch province of Overijssel, situated within the municipality of Hellendoorn.
  • B. Eesveen
    Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
  • C. Kloosterveen
    Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
  • D. Roelofarendsveen
    Roelofarendsveen is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Kaag en Braassem.
  • E. Burgerveen
    Burgerveen is a small village in the Dutch province of North Holland, known as the birthplace of former Prime Minister Hendrikus Colijn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bronnegerveen
Triple: [Borger-Odoorn, contains, Bronnegerveen]
Generated description
Bronnegerveen is a small village in the Dutch province of Drenthe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bronnegerveen
Target entity description: Bronnegerveen is a small village in the Dutch province of Drenthe.
  • A. Daarlerveen
    Daarlerveen is a small village in the Dutch province of Overijssel, situated within the municipality of Hellendoorn.
  • B. Eesveen
    Eesveen is a small village in the Dutch province of Overijssel, located within the municipality of Steenwijkerland.
  • C. Kloosterveen
    Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
  • D. Roelofarendsveen
    Roelofarendsveen is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Kaag en Braassem.
  • E. Burgerveen
    Burgerveen is a small village in the Dutch province of North Holland, known as the birthplace of former Prime Minister Hendrikus Colijn.
  • F. None of above. chosen

Provenance (5 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fd7e4481909088b7f74ba24549 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fa770b48190b0ee529dcab1917d completed May 17, 2026, 3:01 a.m.
NEDg Description generation batch_6a0930f13618819086ae6ff00e293a5c completed May 17, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0931545b288190baf250d9796eca7d completed May 17, 2026, 3:09 a.m.
Created at: April 16, 2026, 12:47 p.m.