Triple

T22962314
Position Surface form Disambiguated ID Type / Status
Subject Bakklandet E570933 entity
Predicate hasStreet P959 FINISHED
Object Nedre 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: Nedre Bakklandet | Statement: [Bakklandet, hasStreet, Nedre Bakklandet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nedre Bakklandet
Context triple: [Bakklandet, hasStreet, Nedre Bakklandet]
  • A. Bakklandet chosen
    Bakklandet is a historic, picturesque neighborhood in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
  • B. Høybakken
    Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
  • C. Nærbø
    Nærbø is a village in Hå municipality in Rogaland county, Norway, known as an agricultural center on the Jæren plain with rail connections to larger nearby cities.
  • D. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • E. Haugalandet
    Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
  • 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.