Triple

T16362910
Position Surface form Disambiguated ID Type / Status
Subject Göta älv E397361 entity
Predicate mouth P407 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: [Göta älv, mouth, Kattegat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattegat
Context triple: [Göta älv, mouth, 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. Lidingö strait
    Lidingö strait is a narrow waterway in the Stockholm area separating the island of Lidingö from the mainland and forming part of the inner Stockholm archipelago.
  • E. 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.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3aada88190a6e01f04c494a6ac completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.