Triple

T23080789
Position Surface form Disambiguated ID Type / Status
Subject Hellerud E575463 entity
Predicate partOf P40 FINISHED
Object eastern 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: eastern Oslo | Statement: [Hellerud, partOf, eastern Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Oslo
Context triple: [Hellerud, partOf, eastern Oslo]
  • A. Northern Oslo
    Northern Oslo is the outer northern part of Norway’s capital, characterized by residential neighborhoods, forested hills, and access to recreational areas.
  • B. Western Oslo
    Western Oslo is the affluent western part of Norway’s capital, known for its upscale residential districts, green areas, and high standard of living.
  • C. Oslo East chosen
    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.
  • D. Central Oslo
    Central Oslo is the dense, historic core of Norway’s capital city, known for its major cultural institutions, shopping streets, and key government and business districts.
  • E. Sinsen
    Sinsen is a neighborhood and major transport hub in Oslo, Norway, known for its busy traffic interchange and public transit connections.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.