Triple

T5426295
Position Surface form Disambiguated ID Type / Status
Subject Sentrum borough E121369 entity
Predicate contains P35 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: [Sentrum borough, contains, downtown Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Oslo
Context triple: [Sentrum borough, contains, downtown Oslo]
  • A. 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.
  • B. 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.
  • C. OsloMet
    OsloMet is a public university in Oslo, Norway, known for its professionally oriented programs and research in fields such as social sciences, health, technology, and education.
  • D. MUNCH, Oslo
    MUNCH, Oslo is a major contemporary art museum in Norway dedicated primarily to the life and works of Edvard Munch, housed in a striking waterfront building that has become a landmark of Oslo’s skyline.
  • E. Akersgata area, Oslo
    Akersgata area in Oslo is a central district known for housing key government buildings and institutions, including Norway’s main government quarter.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd881598448190a9bb456dee36004b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3abfc7e88190b8f0a31b61c33973 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.