Triple

T13799758
Position Surface form Disambiguated ID Type / Status
Subject Korsvägen E331607 entity
Predicate hasRoadConnection P385 FINISHED
Object Skånegatan E331609 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: Skånegatan | Statement: [Korsvägen, hasRoadConnection, Skånegatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skånegatan
Context triple: [Korsvägen, hasRoadConnection, Skånegatan]
  • A. Skånegatan chosen
    Skånegatan is a prominent street in Gothenburg, Sweden, known for connecting major event venues and serving as a key thoroughfare in the city’s entertainment district.
  • B. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • C. Kungsholmsgatan
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • D. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • E. Sankt Eriksgatan
    Sankt Eriksgatan is a major street in central Stockholm, Sweden, known for its shops, restaurants, and role as a key traffic artery through the city.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.