Triple

T4341026
Position Surface form Disambiguated ID Type / Status
Subject Norrmalm E97578 entity
Predicate contains P35 FINISHED
Object Norra Bantorget E438677 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: Norra Bantorget | Statement: [Norrmalm, contains, Norra Bantorget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norra Bantorget
Context triple: [Norrmalm, contains, Norra Bantorget]
  • A. Norra Bantorget chosen
    Norra Bantorget is a historic square in central Stockholm known as a traditional gathering place for the Swedish labor movement and political demonstrations.
  • B. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • C. Fridhemsplan
    Fridhemsplan is a major public square and transport hub in central Stockholm, known for its busy metro interchange and surrounding commercial area.
  • D. Slussen
    Slussen is a major transport hub and metro station in central Stockholm, serving as a key interchange between multiple subway lines and other public transit.
  • E. Sergels torg
    Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67ba3fef08190a0f92460703b0a98 completed March 15, 2026, 9:28 a.m.
Created at: March 12, 2026, 11:14 p.m.