Triple

T15302422
Position Surface form Disambiguated ID Type / Status
Subject Viking Stadion E365820 entity
Predicate hasAddress P4379 FINISHED
Object Jåttåvågveien, Stavanger
Jåttåvågveien in Stavanger is a street best known for being the location of Viking Stadion, the home ground of Viking FK.
 E1147715 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: Jåttåvågveien, Stavanger | Statement: [Viking Stadion, hasAddress, Jåttåvågveien, Stavanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jåttåvågveien, Stavanger
Context triple: [Viking Stadion, hasAddress, Jåttåvågveien, Stavanger]
  • A. Markveien
    Markveien is a well-known street in the Grünerløkka district of Oslo, Norway, noted for its vibrant mix of shops, cafés, and urban culture.
  • 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. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • D. Bogstadveien
    Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
  • E. Nordre gate
    Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
  • 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: Jåttåvågveien, Stavanger
Triple: [Viking Stadion, hasAddress, Jåttåvågveien, Stavanger]
Generated description
Jåttåvågveien in Stavanger is a street best known for being the location of Viking Stadion, the home ground of Viking FK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jåttåvågveien, Stavanger
Target entity description: Jåttåvågveien in Stavanger is a street best known for being the location of Viking Stadion, the home ground of Viking FK.
  • A. Markveien
    Markveien is a well-known street in the Grünerløkka district of Oslo, Norway, noted for its vibrant mix of shops, cafés, and urban culture.
  • 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. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • D. Bogstadveien
    Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
  • E. Nordre gate
    Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef86b8cc81909969098b1766f6b7 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69feeff83f3c8190b9ae0f7ce724b3e2 completed May 9, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_69fef0825e7c8190bb74e2e3de202883 completed May 9, 2026, 8:29 a.m.
Created at: April 10, 2026, 3:15 a.m.