Triple

T4882924
Position Surface form Disambiguated ID Type / Status
Subject Råsunda E109371 entity
Predicate locatedNear P294 FINISHED
Object Solna centrum E378960 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: Solna centrum | Statement: [Råsunda, locatedNear, Solna centrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solna centrum
Context triple: [Råsunda, locatedNear, Solna centrum]
  • A. Solna centrum chosen
    Solna centrum is a Stockholm metro station on the blue line, known for its striking red-and-green cave-style art and serving the Solna municipality just north of central Stockholm.
  • B. Solna Municipality
    Solna Municipality is an urban municipality in the Stockholm metropolitan area of Sweden, known for hosting major institutions such as Friends Arena and the Karolinska Institute.
  • C. Norrmalm
    Norrmalm is a central district of Stockholm, Sweden, known for its major commercial areas, cultural venues, and key transport hubs.
  • D. Östermalm
    Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
  • E. Hammarby Sjöstad
    Hammarby Sjöstad is a modern, sustainably planned waterfront district in Stockholm known for its eco-friendly architecture and urban design.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddfff0c81908fb148a6f6508334 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be68070bb0819095bda199cc966d31 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.