Triple

T13209664
Position Surface form Disambiguated ID Type / Status
Subject Nordic Museum E314454 entity
Predicate locatedOn P40 FINISHED
Object Djurgårdsbrunnsviken shore E116796 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: Djurgårdsbrunnsviken shore | Statement: [Nordic Museum, locatedOn, Djurgårdsbrunnsviken shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djurgårdsbrunnsviken shore
Context triple: [Nordic Museum, locatedOn, Djurgårdsbrunnsviken shore]
  • A. Södertälje Harbour
    Södertälje Harbour is a key port and industrial waterfront area in Södertälje, Sweden, serving as an important hub for maritime transport and logistics.
  • B. Brunnsviken chosen
    Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • C. Södertörn
    Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
  • D. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • E. 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.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9e072c8190b66e2c2430628ed0 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.