Triple

T5429081
Position Surface form Disambiguated ID Type / Status
Subject Gotland County E121438 entity
Predicate includes P1393 FINISHED
Object Fårö E356500 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: Fårö | Statement: [Gotland County, includes, Fårö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fårö
Context triple: [Gotland County, includes, Fårö]
  • A. Fårö chosen
    Fårö is a small Baltic Sea island north of Gotland in Sweden, known for its distinctive limestone rock formations, beaches, and as the longtime home and filming location of director Ingmar Bergman.
  • B. Resarö
    Resarö is an island in the Stockholm archipelago known for its residential communities, natural coastal scenery, and proximity to the city of Stockholm.
  • C. Skarpö
    Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • D. Lovön Island
    Lovön Island is an island in Lake Mälaren near Stockholm, Sweden, best known as the site of the UNESCO-listed Drottningholm Palace and its historic royal grounds.
  • 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 (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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883d1bfc8190859bb05cfab065c8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487db2bc81908822d3adadaff0dd completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:06 p.m.