Triple

T21047957
Position Surface form Disambiguated ID Type / Status
Subject Stortorvet E518496 entity
Predicate hasRoadConnection P385 FINISHED
Object Kirkegata
Kirkegata is a central street in Oslo, Norway, known for its historic buildings and proximity to major city squares and landmarks.
 E1463366 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: Kirkegata | Statement: [Stortorvet, hasRoadConnection, Kirkegata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirkegata
Context triple: [Stortorvet, hasRoadConnection, Kirkegata]
  • 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. Arbeidergata
    Arbeidergata is a street in central Oslo, Norway, located near the historic public square Youngstorget and surrounded by shops, offices, and cultural venues.
  • D. Banérgatan
    Banérgatan is a street in central Stockholm, Sweden, running through the Östermalm district and connecting to the major square and traffic hub Karlaplan.
  • E. Søndre gate
    Søndre gate is a central street in Trondheim, Norway, known for its shops, cafes, and role as a main thoroughfare in the Midtbyen 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: Kirkegata
Triple: [Stortorvet, hasRoadConnection, Kirkegata]
Generated description
Kirkegata is a central street in Oslo, Norway, known for its historic buildings and proximity to major city squares and landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirkegata
Target entity description: Kirkegata is a central street in Oslo, Norway, known for its historic buildings and proximity to major city squares and landmarks.
  • 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. Arbeidergata
    Arbeidergata is a street in central Oslo, Norway, located near the historic public square Youngstorget and surrounded by shops, offices, and cultural venues.
  • D. Banérgatan
    Banérgatan is a street in central Stockholm, Sweden, running through the Östermalm district and connecting to the major square and traffic hub Karlaplan.
  • E. Søndre gate
    Søndre gate is a central street in Trondheim, Norway, known for its shops, cafes, and role as a main thoroughfare in the Midtbyen 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf5b01481909db49aa5be3846aa completed April 21, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094757ab048190bff4b06454ebc761 completed May 17, 2026, 4:43 a.m.
NEDg Description generation batch_6a0948f708d881908ccc7e77e81b15e1 completed May 17, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0949c24c408190ad7a82b734a78544 completed May 17, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:34 p.m.