Triple

T17834471
Position Surface form Disambiguated ID Type / Status
Subject Tegnergatan E445345 entity
Predicate connectsWith P37 FINISHED
Object Holländargatan
Holländargatan is a street in central Stockholm, Sweden, known for its residential buildings and proximity to major city thoroughfares.
 E1295546 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: Holländargatan | Statement: [Tegnergatan, connectsWith, Holländargatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holländargatan
Context triple: [Tegnergatan, connectsWith, Holländargatan]
  • A. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • B. Sturegatan
    Sturegatan is a central street in Stockholm, Sweden, known for its proximity to Humlegården park and its mix of offices, shops, and restaurants.
  • C. Torsgatan
    Torsgatan is a major street in central Stockholm, Sweden, known for linking key districts and hosting a mix of residential, commercial, and historic buildings.
  • D. Kungsholmsgatan
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • E. Skånegatan
    Skånegatan is a prominent street in Gothenburg, Sweden, known for connecting major event venues and serving as a key thoroughfare in the city’s entertainment district.
  • 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: Holländargatan
Triple: [Tegnergatan, connectsWith, Holländargatan]
Generated description
Holländargatan is a street in central Stockholm, Sweden, known for its residential buildings and proximity to major city thoroughfares.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holländargatan
Target entity description: Holländargatan is a street in central Stockholm, Sweden, known for its residential buildings and proximity to major city thoroughfares.
  • A. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • B. Sturegatan
    Sturegatan is a central street in Stockholm, Sweden, known for its proximity to Humlegården park and its mix of offices, shops, and restaurants.
  • C. Torsgatan
    Torsgatan is a major street in central Stockholm, Sweden, known for linking key districts and hosting a mix of residential, commercial, and historic buildings.
  • D. Kungsholmsgatan
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • E. Skånegatan
    Skånegatan is a prominent street in Gothenburg, Sweden, known for connecting major event venues and serving as a key thoroughfare in the city’s entertainment district.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b18f3308190a847d0922c090fdb completed May 12, 2026, 12:20 p.m.
NEDg Description generation batch_6a031c3658988190b59fa17d616cad9b completed May 12, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a031c9914dc819099da3b2174a5fbc7 completed May 12, 2026, 12:27 p.m.
Created at: April 10, 2026, 10:16 a.m.