Triple

T4341031
Position Surface form Disambiguated ID Type / Status
Subject Norrmalm E97578 entity
Predicate contains P35 FINISHED
Object Sveavägen E100068 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: Sveavägen | Statement: [Norrmalm, contains, Sveavägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sveavägen
Context triple: [Norrmalm, contains, Sveavägen]
  • A. Sveavägen chosen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • B. Västerlånggatan
    Västerlånggatan is a historic, narrow main street in Stockholm’s Old Town known for its medieval atmosphere, shops, and restaurants.
  • 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. Regeringsgatan
    Regeringsgatan is a major street in central Stockholm, Sweden, known for its shops, offices, and role as a key thoroughfare through the city center.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6721dcf28819080b6a265152059e9 completed March 15, 2026, 8:47 a.m.
Created at: March 12, 2026, 11:14 p.m.