Triple

T9455674
Position Surface form Disambiguated ID Type / Status
Subject Stockholm Bloodbath E228007 entity
Predicate location P40 FINISHED
Object Stortorget E293401 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: Stortorget | Statement: [Stockholm Bloodbath, location, Stortorget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stortorget
Context triple: [Stockholm Bloodbath, location, Stortorget]
  • 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. 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.
  • C. Stortorvet
    Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
  • D. Youngstorget
    Youngstorget is a central public square in Oslo, Norway, known as a historic hub for political rallies, labor movement events, and urban social life.
  • E. Rådhusplassen
    Rådhusplassen is the central square and waterfront plaza in front of Oslo City Hall, known as a major public space and event venue in Norway’s capital.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8f7e1481909318e473ab4d6460 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122849fec81908a8e7363d6bab4ed completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.