Triple

T20948394
Position Surface form Disambiguated ID Type / Status
Subject Strelasund E515910 entity
Predicate hasNameInGerman P22792 FINISHED
Object Strelasund NE NERFINISHED

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: Strelasund | Statement: [Strelasund, hasNameInGerman, Strelasund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strelasund
Context triple: [Strelasund, hasNameInGerman, Strelasund]
  • A. Strelasund chosen
    Strelasund is a strait in the Baltic Sea separating the German island of Rügen from the mainland near the city of Stralsund.
  • B. Kalmarsund
    Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
  • C. Fårö Strait
    Fårö Strait is the narrow body of water off Sweden’s Baltic Sea coast that separates the island of Fårö from the larger island of Gotland.
  • 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. Norrsundet
    Norrsundet is a small coastal locality in eastern Sweden known historically for its sawmill and harbor along the Gulf of Bothnia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadab7708190bb3a10bdd3f32d90 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1 p.m.