Triple

T20135886
Position Surface form Disambiguated ID Type / Status
Subject Red line (Stockholm metro) E491023 entity
Predicate passesThroughStation P3947 FINISHED
Object Mariatorget NE NERFINISHED

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: Mariatorget | Statement: [Red line (Stockholm metro), passesThroughStation, Mariatorget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariatorget
Context triple: [Red line (Stockholm metro), passesThroughStation, Mariatorget]
  • A. Mariatorget chosen
    Mariatorget is a public square and park in Stockholm’s Södermalm district, known for its cafés, cultural venues, and central urban location.
  • B. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • 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. Mälartorget
    Mälartorget is a public square in Stockholm’s historic Gamla stan district, situated close to the waterfront of Lake Mälaren.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.