Triple

T5946825
Position Surface form Disambiguated ID Type / Status
Subject Riddarholmen E132299 entity
Predicate hasViewOf P854 FINISHED
Object Norr Mälarstrand E310301 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: Norr Mälarstrand | Statement: [Riddarholmen, hasViewOf, Norr Mälarstrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norr Mälarstrand
Context triple: [Riddarholmen, hasViewOf, Norr Mälarstrand]
  • A. Norr Mälarstrand chosen
    Norr Mälarstrand is a prominent waterfront boulevard and park area along Lake Mälaren in central Stockholm, known for its functionalist architecture and scenic promenades.
  • B. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • 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. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Munksjön
    Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393bd4488190bba68d9c6e872e04 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c08a11f48190b16ca30842f23ce5 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.