Triple

T6375802
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Sweden E143461 entity
Predicate borderSea P212 FINISHED
Object Kattegat E34271 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: Kattegat | Statement: [Kingdom of Sweden, borderSea, Kattegat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattegat
Context triple: [Kingdom of Sweden, borderSea, Kattegat]
  • A. Kattegat chosen
    Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
  • B. Skagerrak
    Skagerrak is a strait and sea area between Norway, Denmark, and Sweden that connects the North Sea to the Baltic Sea.
  • C. Bothnian Sea
    The Bothnian Sea is the southern part of the Gulf of Bothnia, a brackish water basin between Sweden and Finland that forms a northern arm of the Baltic Sea.
  • D. Øresund
    Øresund is the strait between Denmark and Sweden that connects the Baltic Sea to the North Sea and is spanned by the Øresund Bridge.
  • E. Strelasund
    Strelasund is a strait in the Baltic Sea separating the German island of Rügen from the mainland near the city of Stralsund.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683bfc7081908b15c3c9a3c72e7b completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fc0d90c8190abf85b591e90e292 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:33 p.m.