Triple

T19873139
Position Surface form Disambiguated ID Type / Status
Subject Skytteholm E477570 entity
Predicate adjacentTo P224 FINISHED
Object Råsunda 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: Råsunda | Statement: [Skytteholm, adjacentTo, Råsunda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Råsunda
Context triple: [Skytteholm, adjacentTo, Råsunda]
  • A. Råsunda chosen
    Råsunda is a district in Solna, Sweden, historically known for hosting the former Råsunda Stadium, once the national football arena.
  • B. Häggenås
    Häggenås is a small locality in Jämtland County, northern Sweden, situated within Östersund Municipality.
  • C. Bromma
    Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
  • D. Frölundaborg
    Frölundaborg is an indoor ice hockey arena in Gothenburg, Sweden, best known as one of the primary venues for the professional club Frölunda HC.
  • E. Södertälje
    Södertälje is a Swedish city southwest of Stockholm known for its industrial heritage, diverse population, and strategic location linking Lake Mälaren with the Baltic Sea via the Södertälje Canal.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.