Triple

T3652614
Position Surface form Disambiguated ID Type / Status
Subject Artland collective municipality E77454 entity
Predicate containsMunicipality P852 FINISHED
Object Badbergen
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
E374938 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: Badbergen | Statement: [Artland collective municipality, containsMunicipality, Badbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badbergen
Context triple: [Artland collective municipality, containsMunicipality, Badbergen]
  • A. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • B. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • C. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • D. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • E. Bareveld
    Bareveld is a small village in the municipality of Veendam in the province of Groningen in the Netherlands.
  • 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: Badbergen
Triple: [Artland collective municipality, containsMunicipality, Badbergen]
Generated description
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Badbergen
Target entity description: Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
  • A. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • B. Rijsbergen
    Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
  • C. Boskoop
    Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
  • D. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • E. Bareveld
    Bareveld is a small village in the municipality of Veendam in the province of Groningen in the Netherlands.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b805a48190a7bc230a382365d6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f435c088190976c1dab165665f1 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b44fd80f408190a0fd4d663dbfb094 completed March 13, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69b4504126c081909cbdc952f7e1e400 completed March 13, 2026, 5:58 p.m.
Created at: March 8, 2026, 3:24 p.m.