Triple

T8112133
Position Surface form Disambiguated ID Type / Status
Subject Region Midtjylland E189379 entity
Predicate hasCoastlineOn 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: [Region Midtjylland, hasCoastlineOn, Kattegat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattegat
Context triple: [Region Midtjylland, hasCoastlineOn, 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432bcb648190b5ddbcc2a3dbc9b1 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc65afac4819094282e7d63619111 completed April 2, 2026, 1:28 a.m.
Created at: March 30, 2026, 5:32 p.m.