Triple

T21258349
Position Surface form Disambiguated ID Type / Status
Subject Oslo East E523927 entity
Predicate includesNeighborhood P4813 FINISHED
Object Bjerke 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: Bjerke | Statement: [Oslo East, includesNeighborhood, Bjerke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjerke
Context triple: [Oslo East, includesNeighborhood, Bjerke]
  • A. Bjerke chosen
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • B. Bjerka
    Bjerka is a small village in the municipality of Hemnes in Nordland county, Norway.
  • C. Bjugn
    Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
  • D. Storvika
    Storvika is a small coastal settlement in the Tysfjorden area of Nordland county in northern Norway.
  • E. Bjerkreim
    Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.