Triple

T15029872
Position Surface form Disambiguated ID Type / Status
Subject Hamngatan E378314 entity
Predicate connectsTo P845 FINISHED
Object Regeringsgatan E444891 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: Regeringsgatan | Statement: [Hamngatan, connectsTo, Regeringsgatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regeringsgatan
Context triple: [Hamngatan, connectsTo, Regeringsgatan]
  • A. Regeringsgatan chosen
    Regeringsgatan is a major street in central Stockholm, Sweden, known for its shops, offices, and role as a key thoroughfare through the city center.
  • B. Kungsholmsgatan
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • C. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • D. Västerlånggatan
    Västerlånggatan is a historic, narrow main street in Stockholm’s Old Town known for its medieval atmosphere, shops, and restaurants.
  • E. 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.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e0e8c88190ac6f5786b4d4040f completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7db6f0081909ab35435c1e4ad13 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:59 a.m.