Triple

T3676378
Position Surface form Disambiguated ID Type / Status
Subject Stockholm metro E78001 entity
Predicate hasStation P35 FINISHED
Object Hötorget E18031 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: Hötorget | Statement: [Stockholm metro, hasStation, Hötorget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hötorget
Context triple: [Stockholm metro, hasStation, Hötorget]
  • A. Hötorget chosen
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • B. Youngstorget
    Youngstorget is a central public square in Oslo, Norway, known as a historic hub for political rallies, labor movement events, and urban social life.
  • C. 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.
  • D. 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.
  • E. Fridhemsplan
    Fridhemsplan is a major public square and transport hub in central Stockholm, known for its busy metro interchange and surrounding commercial area.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc462ffdc8190896e9f98f648e2f3 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dafd43b081908c7ff89e0f55bb5a completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:25 p.m.