Triple

T22729834
Position Surface form Disambiguated ID Type / Status
Subject Hessenstein Palace E562103 entity
Predicate locatedOnIsland P970 FINISHED
Object Riddarholmen 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: Riddarholmen | Statement: [Hessenstein Palace, locatedOnIsland, Riddarholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riddarholmen
Context triple: [Hessenstein Palace, locatedOnIsland, Riddarholmen]
  • A. Riddarholmen chosen
    Riddarholmen is a small historic island in central Stockholm, Sweden, known for its medieval architecture, royal burial church, and role as part of the city’s old town district.
  • B. Strömsborg
    Strömsborg is a small islet in central Stockholm, Sweden, known for its historic buildings and picturesque waterfront setting near the Old Town.
  • C. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • D. Lindholmen
    Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
  • E. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792be7d88190b6d7d79041fcba25 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.