Triple

T20727079
Position Surface form Disambiguated ID Type / Status
Subject Sicklaön E509463 entity
Predicate connectedByBridgeTo P845 FINISHED
Object Värmdö 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: Värmdö | Statement: [Sicklaön, connectedByBridgeTo, Värmdö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Värmdö
Context triple: [Sicklaön, connectedByBridgeTo, Värmdö]
  • A. Värmdö chosen
    Värmdö is a large island and municipality in the Stockholm archipelago of Sweden, known for its coastal landscapes, holiday homes, and proximity to Stockholm.
  • B. Djurö
    Djurö is an island in Sweden’s Stockholm archipelago, known for its coastal nature, holiday homes, and maritime character.
  • C. Hammarö
    Hammarö is a Swedish island and municipality in Värmland County, known for its forests, coastline, and proximity to the city of Karlstad.
  • D. Skarpö
    Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • E. Vaxholm
    Vaxholm is a small coastal town and municipality in the Stockholm archipelago of eastern Sweden, known for its historic fortress and picturesque waterfront.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e8b020819091d5788b90215ead completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:29 p.m.