Triple

T11248880
Position Surface form Disambiguated ID Type / Status
Subject Egertorget E266277 entity
Predicate locatedIn P40 FINISHED
Object downtown Oslo E150936 NE FINISHED

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: downtown Oslo | Statement: [Egertorget, locatedIn, downtown Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Oslo
Context triple: [Egertorget, locatedIn, downtown Oslo]
  • A. 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.
  • B. Sentrum, Oslo chosen
    Sentrum is the central borough of Oslo, Norway, encompassing the city’s main downtown area, key commercial districts, and major transport hubs.
  • 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. Oslo City shopping centre
    Oslo City shopping centre is a large, centrally located shopping mall in downtown Oslo, Norway, featuring numerous retail stores, restaurants, and services.
  • 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 (3 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc76b10c8190962b21c4cad6ce8f completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.