Triple

T19347573
Position Surface form Disambiguated ID Type / Status
Subject Näckrosen metro station E483922 entity
Predicate servesArea P82 FINISHED
Object Sundbyberg 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: Sundbyberg | Statement: [Näckrosen metro station, servesArea, Sundbyberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundbyberg
Context triple: [Näckrosen metro station, servesArea, Sundbyberg]
  • A. Vällingby
    Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
  • B. Sundbyberg Municipality chosen
    Sundbyberg Municipality is a small, densely populated suburban municipality in the Stockholm metropolitan area of Sweden, known for its urban character and proximity to central Stockholm.
  • C. Spånga
    Spånga is a suburban district in western Stockholm, Sweden, known for its residential areas, local center, and commuter rail connections to the city.
  • D. Söderort
    Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
  • E. Sandviken
    Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185c95248190b1e5bb8626489767 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.