Triple

T22878069
Position Surface form Disambiguated ID Type / Status
Subject Munkegata E567380 entity
Predicate partOf P40 FINISHED
Object Trondheim street network NE NERFINISHED

How this triple was built (3 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: Trondheim street network | Statement: [Munkegata, partOf, Trondheim street network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trondheim street network
Context triple: [Munkegata, partOf, Trondheim street network]
  • A. Oslo road network
    The Oslo road network is the integrated system of highways, ring roads, arterial streets, and local roads that facilitates vehicular traffic and connectivity throughout Norway’s capital city and its surrounding areas.
  • B. Oslo public transport network
    The Oslo public transport network is the integrated system of trams, buses, metro, ferries, and local trains that provides comprehensive urban and regional mobility in and around Norway’s capital city.
  • C. Stockholm road network
    The Stockholm road network is the integrated system of streets, bridges, and highways that facilitates vehicular movement throughout Sweden’s capital region.
  • D. Uppsala city road network
    The Uppsala city road network is the interconnected system of streets, bridges, and thoroughfares that facilitates vehicular and pedestrian movement throughout the city of Uppsala, Sweden.
  • E. Midtbyen, Trondheim
    Midtbyen, Trondheim is the historic city center and main downtown district of Trondheim, Norway, known for its traditional wooden architecture, commercial streets, and cultural landmarks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trondheim street network
Target entity description: The Trondheim street network is the interconnected system of roads and streets that structures transportation, access, and urban layout within the city of Trondheim, Norway.
  • A. Oslo road network
    The Oslo road network is the integrated system of highways, ring roads, arterial streets, and local roads that facilitates vehicular traffic and connectivity throughout Norway’s capital city and its surrounding areas.
  • B. Oslo public transport network
    The Oslo public transport network is the integrated system of trams, buses, metro, ferries, and local trains that provides comprehensive urban and regional mobility in and around Norway’s capital city.
  • C. Stockholm road network
    The Stockholm road network is the integrated system of streets, bridges, and highways that facilitates vehicular movement throughout Sweden’s capital region.
  • D. Uppsala city road network
    The Uppsala city road network is the interconnected system of streets, bridges, and thoroughfares that facilitates vehicular and pedestrian movement throughout the city of Uppsala, Sweden.
  • E. Midtbyen, Trondheim
    Midtbyen, Trondheim is the historic city center and main downtown district of Trondheim, Norway, known for its traditional wooden architecture, commercial streets, and cultural landmarks.
  • F. None of above. chosen

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5a26f4819086ede6d85a2ab2bf completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.