Triple

T18597552
Position Surface form Disambiguated ID Type / Status
Subject Midttrafik E454531 entity
Predicate operatesIn P82 FINISHED
Object Favrskov
Favrskov is a municipality in the Central Denmark Region, known for its mix of small towns, rural landscapes, and proximity to the city of Aarhus.
 E1371527 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: Favrskov | Statement: [Midttrafik, operatesIn, Favrskov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Favrskov
Context triple: [Midttrafik, operatesIn, Favrskov]
  • A. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • B. Vollebæk
    Vollebæk is a Norwegian surname most notably associated with diplomat and former foreign minister Knut Vollebæk.
  • C. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • D. Ennore
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • E. Rødovre
    Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
  • 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: Favrskov
Triple: [Midttrafik, operatesIn, Favrskov]
Generated description
Favrskov is a municipality in the Central Denmark Region, known for its mix of small towns, rural landscapes, and proximity to the city of Aarhus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Favrskov
Target entity description: Favrskov is a municipality in the Central Denmark Region, known for its mix of small towns, rural landscapes, and proximity to the city of Aarhus.
  • A. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • B. Vollebæk
    Vollebæk is a Norwegian surname most notably associated with diplomat and former foreign minister Knut Vollebæk.
  • C. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • D. Ennore
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • E. Rødovre
    Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474d934481909b4afd5ef9031c73 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0723f109d48190a70174c9330123cb completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07251f1fec8190afddb45f3e748a59 completed May 15, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0725c74ce88190b38c2688b3ad92ee completed May 15, 2026, 1:55 p.m.
Created at: April 10, 2026, 11:44 a.m.