Triple

T21888685
Position Surface form Disambiguated ID Type / Status
Subject Skillebekk E540479 entity
Predicate hasStreet P959 FINISHED
Object Nobels gate
Nobels gate is a notable street located in the Skillebekk area of Oslo, Norway.
 E1507869 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: Nobels gate | Statement: [Skillebekk, hasStreet, Nobels gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nobels gate
Context triple: [Skillebekk, hasStreet, Nobels gate]
  • A. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • B. Kongens gate
    Kongens gate is one of the main historic streets in the central district of Trondheim, Norway, known for its shops, services, and traditional urban architecture.
  • C. Thorvald Meyers gate
    Thorvald Meyers gate is a central, bustling main street in Oslo’s Grünerløkka district, known for its cafes, bars, boutiques, and vibrant urban atmosphere.
  • D. Nordre gate
    Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
  • E. Møllergata
    Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial 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: Nobels gate
Triple: [Skillebekk, hasStreet, Nobels gate]
Generated description
Nobels gate is a notable street located in the Skillebekk area of Oslo, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nobels gate
Target entity description: Nobels gate is a notable street located in the Skillebekk area of Oslo, Norway.
  • A. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • B. Kongens gate
    Kongens gate is one of the main historic streets in the central district of Trondheim, Norway, known for its shops, services, and traditional urban architecture.
  • C. Thorvald Meyers gate
    Thorvald Meyers gate is a central, bustling main street in Oslo’s Grünerløkka district, known for its cafes, bars, boutiques, and vibrant urban atmosphere.
  • D. Nordre gate
    Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
  • E. Møllergata
    Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ee5f1c8190b8c6c431039eb8c9 completed April 28, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a59ff38c881908efb4cc5840242a8 completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5b34e1948190868859eae050ed22 completed May 18, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5bce1c388190aa0149fab353f30f completed May 18, 2026, 12:22 a.m.
Created at: April 16, 2026, 7:05 p.m.