Triple

T16565498
Position Surface form Disambiguated ID Type / Status
Subject Frescati E402448 entity
Predicate roadAccess P385 FINISHED
Object Roslagsvägen E392030 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: Roslagsvägen | Statement: [Frescati, roadAccess, Roslagsvägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roslagsvägen
Context triple: [Frescati, roadAccess, Roslagsvägen]
  • A. Monteliusvägen
    Monteliusvägen is a scenic walking path in Stockholm known for its panoramic views over the city and Lake Mälaren.
  • B. Mölndalsvägen
    Mölndalsvägen is a major thoroughfare in Gothenburg, Sweden, connecting the city center with the suburb of Mölndal and serving as an important route for traffic and public transport.
  • C. Örgrytevägen
    Örgrytevägen is a major street in Gothenburg, Sweden, connecting the central area around Korsvägen with the district of Örgryte and serving as an important urban thoroughfare.
  • D. Karlavägen
    Karlavägen is a major, tree-lined boulevard in central Stockholm known for its elegant architecture and location in the upscale Östermalm district.
  • E. Valhallavägen chosen
    Valhallavägen is a major thoroughfare in central Stockholm, Sweden, known for its length, cultural institutions, and proximity to several universities and parks.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e357711ea481909468147375051bb4 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee1c1d0819096367344e48bd8d0 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.