Triple

T5729552
Position Surface form Disambiguated ID Type / Status
Subject Grünerløkka E126346 entity
Predicate hasStreet P959 FINISHED
Object 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.
 E550791 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: Toftes gate | Statement: [Grünerløkka, hasStreet, Toftes gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toftes gate
Context triple: [Grünerløkka, hasStreet, Toftes gate]
  • A. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • B. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • 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. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • E. Danmarks gate
    Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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: Toftes gate
Triple: [Grünerløkka, hasStreet, Toftes gate]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toftes gate
Target entity description: 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.
  • A. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • B. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • 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. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • E. Danmarks gate
    Danmarks gate is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1605f808190a45359e213354799 completed March 23, 2026, 2:11 a.m.
NEDg Description generation batch_69c0a223129081908288d90f7cf51668 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a294ba748190a86ec8400df73237 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:47 p.m.