Triple

T23291202
Position Surface form Disambiguated ID Type / Status
Subject Bjølsen Park E590033 entity
Predicate locatedInCounty P40 FINISHED
Object Oslo County 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: Oslo County | Statement: [Bjølsen Park, locatedInCounty, Oslo County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo County
Context triple: [Bjølsen Park, locatedInCounty, Oslo County]
  • A. Oslo County chosen
    Oslo County is the administrative region that encompasses Norway’s capital city, Oslo, serving as a central hub for the country’s political, cultural, and academic institutions.
  • B. Haakon County
    Haakon County is a sparsely populated rural county in central South Dakota known for its agricultural landscape and small communities.
  • C. Bojnord County
    Bojnord County is an administrative division in North Khorasan Province in northeastern Iran, centered around the city of Bojnord.
  • D. Jarlsberg County
    Jarlsberg County was a historic county in southeastern Norway, known for its noble estates and long-standing ties to the influential Wedel Jarlsberg family.
  • E. Innlandet county
    Innlandet county is a landlocked region in eastern Norway known for its vast forests, mountains, and agricultural areas, formed in 2020 by the merger of the former Hedmark and Oppland counties.
  • 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_69f196cb3fec8190a95255da97dd984e completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:02 p.m.