Triple

T10041004
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea navies E205294 entity
Predicate operatesIn P82 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: [Baltic Sea navies, operatesIn, Kattegat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kattegat
Context triple: [Baltic Sea navies, operatesIn, 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee2e6d881908cfa0579f9be32e4 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2827064108190b9079717a4eb98d6 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.