Triple

T7346014
Position Surface form Disambiguated ID Type / Status
Subject Tøyen Torg E169380 entity
Predicate hasAlternativeName P39 FINISHED
Object Tøyen Square E169380 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: Tøyen Square | Statement: [Tøyen Torg, hasAlternativeName, Tøyen Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tøyen Square
Context triple: [Tøyen Torg, hasAlternativeName, Tøyen Square]
  • A. Tøyen Torg chosen
    Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
  • B. Jernbanetorget square
    Jernbanetorget square is a major public square and central transport hub in downtown Oslo, serving as a key meeting point and gateway to the city.
  • C. Stortorvet
    Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
  • D. Frogner Park
    Frogner Park is a large public park in Oslo, Norway, best known for housing the Vigeland installation, the world’s largest sculpture park created by a single artist.
  • E. Rådhusplassen
    Rådhusplassen is the central square and waterfront plaza in front of Oslo City Hall, known as a major public space and event venue in Norway’s capital.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f0329c8190a0182e3bf62604e5 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8de0888190b62101471048b8e1 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.