Triple

T21288626
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Government Quarter E524727 entity
Predicate near P350 FINISHED
Object Youngstorget E142868 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: Youngstorget | Statement: [Norwegian Government Quarter, near, Youngstorget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youngstorget
Context triple: [Norwegian Government Quarter, near, Youngstorget]
  • A. Youngstorget chosen
    Youngstorget is a central public square in Oslo, Norway, known as a historic hub for political rallies, labor movement events, and urban social life.
  • B. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • C. Mariatorget
    Mariatorget is a public square and park in Stockholm’s Södermalm district, known for its cafés, cultural venues, and central urban location.
  • D. Gustav Adolfs torg
    Gustav Adolfs torg is a central public square in Malmö, Sweden, known as a major hub for city life, events, and public transportation.
  • E. Gustav Adolfs torg
    Gustav Adolfs torg is a central public square in Stockholm, Sweden, known for its historic buildings, cultural institutions, and role as a prominent civic and ceremonial space.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d882408190a2300327cb73b7f6 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980c3fbc8190aefe065a0d6cd8b5 completed May 17, 2026, 10:27 a.m.
Created at: April 16, 2026, 4:03 p.m.