Triple

T22318403
Position Surface form Disambiguated ID Type / Status
Subject Telthusbakken E551710 entity
Predicate locatedNear P294 FINISHED
Object Damstredet
Damstredet is a historic, cobblestoned street in central Oslo, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries.
 E1530269 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: Damstredet | Statement: [Telthusbakken, locatedNear, Damstredet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Damstredet
Context triple: [Telthusbakken, locatedNear, Damstredet]
  • A. Pilestredet
    Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
  • B. Stetinden
    Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
  • C. Stedum
    Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
  • D. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • E. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • 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: Damstredet
Triple: [Telthusbakken, locatedNear, Damstredet]
Generated description
Damstredet is a historic, cobblestoned street in central Oslo, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Damstredet
Target entity description: Damstredet is a historic, cobblestoned street in central Oslo, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries.
  • A. Pilestredet
    Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
  • B. Stetinden
    Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
  • C. Stedum
    Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
  • D. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • E. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157543d688190a151fade71880131 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0accaa3b7c81908ffa1bddc6a65ee1 completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acd57919c8190a24a7e92d4c92f75 completed May 18, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0acdf32f608190907c4f60265048e0 completed May 18, 2026, 8:29 a.m.
Created at: April 16, 2026, 8:42 p.m.