Triple

T15782769
Position Surface form Disambiguated ID Type / Status
Subject Blue line (Stockholm metro) E382659 entity
Predicate hasStation P35 FINISHED
Object Näckrosen metro station E483922 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: Näckrosen metro station | Statement: [Blue line (Stockholm metro), hasStation, Näckrosen metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Näckrosen metro station
Context triple: [Blue line (Stockholm metro), hasStation, Näckrosen metro station]
  • A. Näckrosen metro station chosen
    Näckrosen metro station is a Stockholm Metro station on the Blue Line serving the Solna and Sundbyberg areas in the northern part of the city.
  • B. Skanstull metro station
    Skanstull metro station is a Stockholm Metro station on Södermalm that serves as a key stop on the city’s Green Line.
  • C. Kristineberg metro station
    Kristineberg metro station is a Stockholm Metro station on the green line, serving the Kristineberg district on Kungsholmen island in Sweden.
  • D. Södermalm metro station
    Södermalm metro station is a public transit station serving Stockholm’s Södermalm district on the city’s metro network.
  • E. Kungsträdgården metro station
    Kungsträdgården metro station is a central Stockholm underground station renowned for its art-filled, cavern-like design and proximity to major cultural landmarks.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0dd5ec8190b9a44d2ccbe90c52 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:48 a.m.