Triple

T15030176
Position Surface form Disambiguated ID Type / Status
Subject T-bana E378321 entity
Predicate hasStation P35 FINISHED
Object Fridhemsplan E310303 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: Fridhemsplan | Statement: [T-bana, hasStation, Fridhemsplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fridhemsplan
Context triple: [T-bana, hasStation, Fridhemsplan]
  • A. Fridhemsplan chosen
    Fridhemsplan is a major public square and transport hub in central Stockholm, known for its busy metro interchange and surrounding commercial area.
  • B. St. Eriksplan
    St. Eriksplan is a well-known square and traffic hub in central Stockholm, featuring a metro station and surrounded by shops, cafes, and residential buildings.
  • C. 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.
  • D. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • E. Östermalmstorg
    Östermalmstorg is a central public square in Stockholm’s upscale Östermalm district, known for its historic market hall, shops, and restaurants.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2268dc8190882e5a489e0c49c2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 2:59 a.m.