Triple

T2736491
Position Surface form Disambiguated ID Type / Status
Subject Old Town, Stockholm E60641 entity
Predicate contains P35 FINISHED
Object Österlånggatan E293407 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: Österlånggatan | Statement: [Old Town, Stockholm, contains, Österlånggatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Österlånggatan
Context triple: [Old Town, Stockholm, contains, Österlånggatan]
  • A. Västerlånggatan chosen
    Västerlånggatan is a historic, narrow main street in Stockholm’s Old Town known for its medieval atmosphere, shops, and restaurants.
  • B. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • C. Kungsgatan
    Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
  • D. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • E. Karl Johan’s Street
    Karl Johan’s Street is the main boulevard in central Oslo, Norway, known for its historic buildings, shops, and role as a popular pedestrian thoroughfare.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb11c66c81909058f2978aa5fae9 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc430ec8190a54f805cd0067b97 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.