Triple

T2321118
Position Surface form Disambiguated ID Type / Status
Subject Halden Theatre E51181 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Viken county E50816 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: Viken county | Statement: [Halden Theatre, locatedInAdministrativeTerritory, Viken county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viken county
Context triple: [Halden Theatre, locatedInAdministrativeTerritory, Viken county]
  • A. Viken county chosen
    Viken county is an administrative region in southeastern Norway that includes several municipalities and borders Sweden and the Oslofjord.
  • B. Skåne County
    Skåne County is Sweden’s southernmost county, known for its fertile farmland, coastal landscapes, and major cities such as Malmö and Lund.
  • C. Östergötland County
    Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
  • D. Västmanland County
    Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
  • E. Uppsala County
    Uppsala County is an administrative region in east-central Sweden known for its historic university city of Uppsala and its mix of cultural heritage and rural landscapes.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc6337e948190bb4860f7045914e1 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20321518c8190a221620074f3428b completed March 12, 2026, 12:04 a.m.
Created at: March 4, 2026, 7:49 p.m.