Triple

T10603451
Position Surface form Disambiguated ID Type / Status
Subject Achterwasser E275809 entity
Predicate locatedNear P294 FINISHED
Object Koserow E277805 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: Koserow | Statement: [Achterwasser, locatedNear, Koserow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koserow
Context triple: [Achterwasser, locatedNear, Koserow]
  • A. Koserow chosen
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • B. Ostrower
    Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
  • C. Kosow
    Kosow is the birth surname of American actress Sylvia Sidney, who was known for her work in early Hollywood cinema and later character roles.
  • D. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • E. Kresowa
    Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded6d698819084f96f46ea941461 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d448fac81909137b0a0ed9b976e completed April 19, 2026, 1:17 a.m.
Created at: April 8, 2026, 7:32 p.m.