Triple

T23057978
Position Surface form Disambiguated ID Type / Status
Subject Sit E574212 entity
Predicate hasNearbyIsland P970 FINISHED
Object Kornat 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: Kornat | Statement: [Sit, hasNearbyIsland, Kornat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kornat
Context triple: [Sit, hasNearbyIsland, Kornat]
  • A. Kornat chosen
    Kornat is the largest and most prominent island in Croatia’s Kornati archipelago, known for its rugged coastline and inclusion within Kornati National Park.
  • B. Kornos
    Kornos is a village located on the Greek island of Lemnos in the North Aegean region.
  • C. Kornos
    Kornos is a village in Cyprus known for its traditional pottery and rural character, located in the Larnaca District.
  • D. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • E. Karniow
    Karniow is the Polish name for the town of Jägerndorf, historically known as Krnov, in the Czech Republic.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18681bec48190a8226b3d89d19b9f completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.