Triple

T12308175
Position Surface form Disambiguated ID Type / Status
Subject Riddarhuset E293405 entity
Predicate nativeName P15 FINISHED
Object Riddarhuset E293405 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: Riddarhuset | Statement: [Riddarhuset, nativeName, Riddarhuset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riddarhuset
Context triple: [Riddarhuset, nativeName, Riddarhuset]
  • A. Riddarhuset chosen
    Riddarhuset is a historic 17th-century building in Stockholm that served as the assembly house for the Swedish nobility and now functions as an important cultural and architectural landmark.
  • B. Runhällen
    Runhällen is a small locality in central Sweden situated within Heby Municipality in Uppsala County.
  • C. Pilestredet
    Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
  • D. Gavlerinken
    Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
  • E. Röda rummet
    Röda rummet is a notable gallery or exhibition space within the Gothenburg Museum of Art, recognized for housing part of the museum’s art collection.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f01ace8819087f245b9216f4dc8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9d50b081908f0bdb7a2ca2832a completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.