Triple

T20824058
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea islands E512649 entity
Predicate includes P1393 FINISHED
Object Kotlin Island 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: Kotlin Island | Statement: [Baltic Sea islands, includes, Kotlin Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotlin Island
Context triple: [Baltic Sea islands, includes, Kotlin Island]
  • A. Kotlin Island chosen
    Kotlin Island is a small island in the Gulf of Finland near St. Petersburg, Russia, historically significant as a naval outpost and namesake of the Kotlin programming language.
  • B. Ostrov
    Ostrov is a town in the Karlovy Vary Region of the Czech Republic known for its historical architecture and proximity to the spa city of Karlovy Vary.
  • C. Ostrov
    Ostrov is a historic town in Pskov Oblast, Russia, known for its medieval architecture and role as a regional administrative and cultural center.
  • D. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • E. Kerrera
    Kerrera is a small Scottish island in the Inner Hebrides, located near Oban on the country’s west coast.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fc0cd081909e264cda686579ea completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.