Triple

T5828121
Position Surface form Disambiguated ID Type / Status
Subject Jernbanetorget metro station E129278 entity
Predicate hasEntrance P6140 FINISHED
Object Jernbanetorget square E119740 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: Jernbanetorget square | Statement: [Jernbanetorget metro station, hasEntrance, Jernbanetorget square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jernbanetorget square
Context triple: [Jernbanetorget metro station, hasEntrance, Jernbanetorget square]
  • A. Jernbanetorget square chosen
    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.
  • B. Stortorvet
    Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
  • C. 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.
  • D. Stortorget
    Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
  • E. Tøyen Torg
    Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03467dfe48190b51757b33681bc20 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09863be3c8190bba357bf64e22917 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.