Triple

T22173681
Position Surface form Disambiguated ID Type / Status
Subject Waxholmsbolaget ferries E547986 entity
Predicate connects P390 FINISHED
Object Svartsö 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: Svartsö | Statement: [Waxholmsbolaget ferries, connects, Svartsö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svartsö
Context triple: [Waxholmsbolaget ferries, connects, Svartsö]
  • A. Svartsö chosen
    Svartsö is a rural, forested island in Sweden’s Stockholm archipelago known for its tranquil atmosphere, small community, and outdoor recreation opportunities.
  • B. Skogsön
    Skogsön is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its natural coastal landscapes and holiday homes.
  • C. Norderön
    Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
  • D. Kastlösa
    Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • E. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6a9370819098ad65fede676c2b completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.