Triple

T22173677
Position Surface form Disambiguated ID Type / Status
Subject Waxholmsbolaget ferries E547986 entity
Predicate connects P390 FINISHED
Object Sandhamn 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: Sandhamn | Statement: [Waxholmsbolaget ferries, connects, Sandhamn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandhamn
Context triple: [Waxholmsbolaget ferries, connects, Sandhamn]
  • A. Sandhamn chosen
    Sandhamn is a popular Swedish island village and sailing hub in the outer Stockholm archipelago, known for its beaches, regattas, and picturesque wooden houses.
  • B. Sandholmen
    Sandholmen is an island within Finland’s Pellinge archipelago, known for its coastal nature and maritime surroundings.
  • C. Särna
    Särna is a small locality in northern Dalarna County, Sweden, known for its forested surroundings and outdoor recreation opportunities.
  • D. Smögen Island
    Smögen Island is a popular Swedish west-coast island known for its picturesque fishing village, colorful wooden houses, and bustling summer tourism.
  • E. Skärhamn
    Skärhamn is a coastal town in western Sweden known for its fishing heritage, picturesque harbor, and the Nordic Watercolour Museum.
  • 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.