Triple

T21952709
Position Surface form Disambiguated ID Type / Status
Subject Veglia E542106 entity
Predicate region P40 FINISHED
Object Kvarner 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: Kvarner | Statement: [Veglia, region, Kvarner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvarner
Context triple: [Veglia, region, 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. Kalmarsund
    Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
  • C. 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.
  • D. Gävle Bay of the Baltic Sea
    Gävle Bay of the Baltic Sea is a coastal bay in eastern Sweden forming part of the Gulf of Bothnia along the shoreline near the city of Gävle.
  • E. Riddarfjärden
    Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243d43d8819084e280b129631288 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.