Triple

T23288571
Position Surface form Disambiguated ID Type / Status
Subject Arbeidergata E589961 entity
Predicate partOfUrbanArea P294 FINISHED
Object central 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: central Oslo | Statement: [Arbeidergata, partOfUrbanArea, central Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Oslo
Context triple: [Arbeidergata, partOfUrbanArea, central Oslo]
  • A. Central Oslo chosen
    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.
  • 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. Northern Oslo
    Northern Oslo is the outer northern part of Norway’s capital, characterized by residential neighborhoods, forested hills, and access to recreational areas.
  • D. central Stockholm
    Central Stockholm is the densely built-up core of Sweden’s capital city, encompassing its main commercial, political, and cultural districts spread across several inner-city islands and waterfronts.
  • E. Sentrum, Oslo
    Sentrum is the central borough of Oslo, Norway, encompassing the city’s main downtown area, key commercial districts, and major transport hubs.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19649570c8190b565fafa55b1f886 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5:01 p.m.