Triple

T19248562
Position Surface form Disambiguated ID Type / Status
Subject Hallonbergen metro station E481326 entity
Predicate locatedIn P40 FINISHED
Object Hallonbergen 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: Hallonbergen | Statement: [Hallonbergen metro station, locatedIn, Hallonbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallonbergen
Context triple: [Hallonbergen metro station, locatedIn, Hallonbergen]
  • A. Hallonbergen chosen
    Hallonbergen is a residential district and metro-served suburb in the Stockholm urban area, known for its 1960s–70s apartment blocks and multicultural population.
  • B. Hallsberg
    Hallsberg is a Swedish railway town in Örebro County known as a major junction in the national rail network.
  • C. Halling
    Halling was a top-class British-trained Thoroughbred racehorse of the 1990s, best known for winning multiple Group 1 middle-distance races including back-to-back Eclipse and Juddmonte International Stakes.
  • D. Hägersten
    Hägersten is a residential district in southern Stockholm, Sweden, known for its mix of apartment blocks, green areas, and proximity to the city center.
  • E. Kallhäll
    Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2e7cf881908dafd45d7a305c52 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.