Triple

T16399871
Position Surface form Disambiguated ID Type / Status
Subject Sofiero Palace E398282 entity
Predicate locatedNear P294 FINISHED
Object Öresund E70875 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: Öresund | Statement: [Sofiero Palace, locatedNear, Öresund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Öresund
Context triple: [Sofiero Palace, locatedNear, Öresund]
  • A. Øresund chosen
    Øresund is the strait between Denmark and Sweden that connects the Baltic Sea to the North Sea and is spanned by the Øresund Bridge.
  • B. Great Belt
    The Great Belt is a major strait in Denmark that separates the islands of Funen and Zealand and connects the Baltic Sea to the Kattegat.
  • C. 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.
  • D. Kalmarsund
    Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
  • E. Kattegat
    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.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cea4e481908400b852a5a7032a completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c5bcc7c81909dc1d3a9a1b7f50a completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.