Triple

T17422436
Position Surface form Disambiguated ID Type / Status
Subject Oslo Concert Hall E423648 entity
Predicate locatedOnStreet P959 FINISHED
Object Munkedamsveien
Munkedamsveien is a central street in Oslo, Norway, known for hosting major cultural venues and offices near the city’s waterfront.
 E1267728 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: Munkedamsveien | Statement: [Oslo Concert Hall, locatedOnStreet, Munkedamsveien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Munkedamsveien
Context triple: [Oslo Concert Hall, locatedOnStreet, Munkedamsveien]
  • A. Lysebotnvegen
    Lysebotnvegen is a scenic mountain road in Norway known for its dramatic hairpin bends, steep climbs, and panoramic views over the Lysefjord.
  • B. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Møllergata
    Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
  • D. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • E. 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.
  • 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: Munkedamsveien
Triple: [Oslo Concert Hall, locatedOnStreet, Munkedamsveien]
Generated description
Munkedamsveien is a central street in Oslo, Norway, known for hosting major cultural venues and offices near the city’s waterfront.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Munkedamsveien
Target entity description: Munkedamsveien is a central street in Oslo, Norway, known for hosting major cultural venues and offices near the city’s waterfront.
  • A. Lysebotnvegen
    Lysebotnvegen is a scenic mountain road in Norway known for its dramatic hairpin bends, steep climbs, and panoramic views over the Lysefjord.
  • B. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Møllergata
    Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
  • D. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • E. 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.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44237f2cc819083ca0e7e00d828fb completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a80670bc8190aa8c7651e8973bb3 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01aa8b777c81909b8a4a5e790634e8 completed May 11, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a01ab5a7a408190a457ddef4a0a7b09 completed May 11, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:46 a.m.