Triple

T179578
Position Surface form Disambiguated ID Type / Status
Subject Oslo E3654 entity
Predicate partOf P40 FINISHED
Object Oslo Region E16813 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: Oslo Region | Statement: [Oslo, partOf, Oslo Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Region
Context triple: [Oslo, partOf, Oslo Region]
  • A. Trøndelag
    Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
  • B. Eastern Norway chosen
    Eastern Norway is a major geographical and administrative region of Norway that includes the capital city Oslo and encompasses the country’s most populous and economically significant areas.
  • C. Southern Norway
    Southern Norway is a geographical and cultural region encompassing the southernmost part of Norway, known for its mild coastal climate, fjords, and popular holiday towns.
  • D. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • E. Western Norway
    Western Norway is a coastal region of Norway known for its dramatic fjords, mountainous landscapes, and important port cities such as Bergen and Stavanger.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25900709c8190a65e778936be5dd5 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa7c7a288190bc547d5e7010732b completed Feb. 28, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.