Triple

T18059336
Position Surface form Disambiguated ID Type / Status
Subject Börshuset E432129 entity
Predicate hasFacadeFacing P20200 FINISHED
Object Stortorget square NE NERFINISHED

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: Stortorget square | Statement: [Börshuset, hasFacadeFacing, Stortorget square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stortorget square
Context triple: [Börshuset, hasFacadeFacing, Stortorget square]
  • A. Stortorget chosen
    Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
  • B. Stortorget
    Stortorget is the historic main square in central Malmö, Sweden, known for its surrounding notable buildings and role as a key public gathering place.
  • C. Stortorvet
    Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
  • D. Stora Torg
    Stora Torg is the main central square of Halmstad, Sweden, serving as a focal point for commerce, events, and public life in the city.
  • E. Jernbanetorget square
    Jernbanetorget square is a major public square and central transport hub in downtown Oslo, serving as a key meeting point and gateway to the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c10583648190a161c58abf4853d5 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.