Triple

T18313017
Position Surface form Disambiguated ID Type / Status
Subject Norra Bantorget E438677 entity
Predicate hasStreetBounding P959 FINISHED
Object Wallingatan
Wallingatan is a street in central Stockholm, Sweden, located near the Norra Bantorget area.
 E1318048 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: Wallingatan | Statement: [Norra Bantorget, hasStreetBounding, Wallingatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wallingatan
Context triple: [Norra Bantorget, hasStreetBounding, Wallingatan]
  • A. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • B. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • C. Holtaness
    Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
  • D. Tinganes
    Tinganes is the historic peninsula in central Tórshavn, Faroe Islands, known as one of the world’s oldest parliamentary meeting places and the seat of the Faroese government.
  • E. Hohsaas
    Hohsaas is a high-altitude mountain station and viewpoint in the Swiss Alps, known for its panoramic views of numerous 4,000-meter peaks and access to hiking and skiing areas.
  • 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: Wallingatan
Triple: [Norra Bantorget, hasStreetBounding, Wallingatan]
Generated description
Wallingatan is a street in central Stockholm, Sweden, located near the Norra Bantorget area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wallingatan
Target entity description: Wallingatan is a street in central Stockholm, Sweden, located near the Norra Bantorget area.
  • A. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • B. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • C. Holtaness
    Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
  • D. Tinganes
    Tinganes is the historic peninsula in central Tórshavn, Faroe Islands, known as one of the world’s oldest parliamentary meeting places and the seat of the Faroese government.
  • E. Hohsaas
    Hohsaas is a high-altitude mountain station and viewpoint in the Swiss Alps, known for its panoramic views of numerous 4,000-meter peaks and access to hiking and skiing areas.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021a96b48190976273be3ff3e5c6 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4bf498c8190ba7ba700ab643c9a completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c592f7d0819082d600901da2c2f6 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 10, 2026, 10:36 a.m.