Triple

T22962315
Position Surface form Disambiguated ID Type / Status
Subject Bakklandet E570933 entity
Predicate hasStreet P959 FINISHED
Object Øvre Bakklandet NE NERFINISHED

How this triple was built (2 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: Øvre Bakklandet | Statement: [Bakklandet, hasStreet, Øvre Bakklandet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øvre Bakklandet
Context triple: [Bakklandet, hasStreet, Øvre Bakklandet]
  • A. Høybakken
    Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
  • B. Bakklandet chosen
    Bakklandet is a historic, picturesque neighborhood in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
  • C. Haugalandet
    Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
  • D. Øvre Eiker
    Øvre Eiker is a rural municipality in Buskerud county, Norway, known for its forests, rivers, and traditional agricultural landscape.
  • E. Vangsnes
    Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f594fc8190816418486b798198 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.