Triple

T6194268
Position Surface form Disambiguated ID Type / Status
Subject Kvarner Gulf E138470 entity
Predicate hasIsland P970 FINISHED
Object Krk E104257 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: Krk | Statement: [Kvarner Gulf, hasIsland, Krk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krk
Context triple: [Kvarner Gulf, hasIsland, Krk]
  • A. Krk chosen
    Krk is a large Adriatic Sea island in the northern part of Croatia, known for its historic towns, beaches, and popular tourist resorts.
  • B. Kras
    Kras is a karst limestone plateau region in southwestern Slovenia and northeastern Italy, renowned for its distinctive caves, sinkholes, and underground rivers that gave the term "karst" to geology.
  • C. Kraljevica
    Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
  • D. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • E. Gorski Kotar
    Gorski Kotar is a mountainous, heavily forested region in western Croatia known for its rugged landscapes, rich biodiversity, and outdoor recreation opportunities.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.