Triple

T21057781
Position Surface form Disambiguated ID Type / Status
Subject Lake Gömmaren E518764 entity
Predicate locatedInRegion P40 FINISHED
Object Södertörn 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: Södertörn | Statement: [Lake Gömmaren, locatedInRegion, Södertörn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Södertörn
Context triple: [Lake Gömmaren, locatedInRegion, Södertörn]
  • A. Södertörn chosen
    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.
  • B. Norderön
    Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
  • C. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Rindö
    Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd81434c8190aedfddf937f82322 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:37 p.m.