Triple

T21639731
Position Surface form Disambiguated ID Type / Status
Subject Valle Hovin E534058 entity
Predicate cityDistrict P2709 FINISHED
Object Gamle Oslo 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: Gamle Oslo | Statement: [Valle Hovin, cityDistrict, Gamle Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamle Oslo
Context triple: [Valle Hovin, cityDistrict, Gamle Oslo]
  • A. Gamle Oslo district chosen
    Gamle Oslo district is a central borough of Norway’s capital city known for its historic neighborhoods, diverse population, and rapidly developing waterfront areas.
  • B. Old Stavanger (Gamle Stavanger)
    Old Stavanger (Gamle Stavanger) is a historic district in Stavanger, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries and charming cobblestone streets.
  • C. Rakkestad
    Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
  • D. Den Gamle By
    Den Gamle By is an open-air museum in Aarhus, Denmark, showcasing historical Danish town life through preserved and reconstructed buildings from different eras.
  • E. Oslo East
    Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5390ba7481908f58230779e5b7bb completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.