Triple

T4700569
Position Surface form Disambiguated ID Type / Status
Subject Krk E104257 entity
Predicate historicalRegion P915 FINISHED
Object Kvarner E138470 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: Kvarner | Statement: [Krk, historicalRegion, Kvarner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvarner
Context triple: [Krk, historicalRegion, Kvarner]
  • A. Kvarner Gulf chosen
    Kvarner Gulf is a bay of the northern Adriatic Sea known for its coastal cities and islands that form a popular tourist region of Croatia.
  • B. Gulf of Bothnia
    The Gulf of Bothnia is the northernmost arm of the Baltic Sea, lying between Sweden and Finland and known for its brackish waters and extensive winter ice cover.
  • C. Lake Mälaren
    Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
  • D. Sea of Åland
    The Sea of Åland is a sub-basin of the Baltic Sea situated between Sweden and Finland, known for surrounding the Åland Islands and linking the Gulf of Bothnia with the Baltic proper.
  • E. Lake Vänern
    Lake Vänern is Sweden’s largest lake and one of Europe’s biggest freshwater lakes, known for its extensive archipelagos and important role in regional ecology and transportation.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1062fa8c81909263e6757ef7c2d5 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:17 p.m.