Triple

T9834695
Position Surface form Disambiguated ID Type / Status
Subject Rosenbad E239070 entity
Predicate locatedOnStreet P959 FINISHED
Object Strömgatan E712627 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: Strömgatan | Statement: [Rosenbad, locatedOnStreet, Strömgatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strömgatan
Context triple: [Rosenbad, locatedOnStreet, Strömgatan]
  • A. Strömgatan chosen
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • B. 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.
  • C. Klarabergsgatan
    Klarabergsgatan is a major central street in Stockholm, Sweden, known for its busy commercial activity and role as a key thoroughfare in the Norrmalm district.
  • D. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • E. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3385054819094145c96204e3f0d completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c8f1a48190a4e7b6cda8ee88d5 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:32 p.m.