Triple

T22925766
Position Surface form Disambiguated ID Type / Status
Subject Lyngby-Taarbæk Municipality E569301 entity
Predicate hasTown P847 FINISHED
Object Virum
Virum is a suburban town in eastern Denmark, located north of Copenhagen in the Lyngby-Taarbæk area.
E1562474 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: Virum | Statement: [Lyngby-Taarbæk Municipality, hasTown, Virum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virum
Context triple: [Lyngby-Taarbæk Municipality, hasTown, Virum]
  • A. Virú
    Virú is a town and provincial capital in northern Peru known for its agricultural production and proximity to important pre-Columbian archaeological sites.
  • B. Veele
    Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
  • C. Virserum
    Virserum is a small locality in southern Sweden known for its traditional furniture industry and cultural heritage, situated within Kalmar County.
  • D. Valga
    Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
  • E. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • 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: Virum
Triple: [Lyngby-Taarbæk Municipality, hasTown, Virum]
Generated description
Virum is a suburban town in eastern Denmark, located north of Copenhagen in the Lyngby-Taarbæk area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Virum
Target entity description: Virum is a suburban town in eastern Denmark, located north of Copenhagen in the Lyngby-Taarbæk area.
  • A. Virú
    Virú is a town and provincial capital in northern Peru known for its agricultural production and proximity to important pre-Columbian archaeological sites.
  • B. Veele
    Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
  • C. Virserum
    Virserum is a small locality in southern Sweden known for its traditional furniture industry and cultural heritage, situated within Kalmar County.
  • D. Valga
    Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
  • E. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc2496f50819098e4bd9a3fa3f6e4 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc35c3ea08190a3b9111297774e6c completed May 19, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc4415f288190a4dab3885ec931ca completed May 19, 2026, 2 a.m.
Created at: April 17, 2026, 3:43 p.m.