Triple

T13084913
Position Surface form Disambiguated ID Type / Status
Subject Rådhuset E310305 entity
Predicate hasEntrance P6140 FINISHED
Object Hantverkargatan E1028204 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: Hantverkargatan | Statement: [Rådhuset, hasEntrance, Hantverkargatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hantverkargatan
Context triple: [Rådhuset, hasEntrance, Hantverkargatan]
  • A. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • B. Kungsholmsgatan chosen
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • C. Skånegatan
    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.
  • D. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • E. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a227d2c81908da0089d0e0387c6 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:02 p.m.