Triple

T19840405
Position Surface form Disambiguated ID Type / Status
Subject Plovdiv Province E476709 entity
Predicate hasMunicipality P847 FINISHED
Object Sopot Municipality 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: Sopot Municipality | Statement: [Plovdiv Province, hasMunicipality, Sopot Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sopot Municipality
Context triple: [Plovdiv Province, hasMunicipality, Sopot Municipality]
  • A. Sopot
    Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
  • B. Sopot
    Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
  • C. Sopot chosen
    Sopot is a small Bulgarian town in the Rose Valley, known as the birthplace of national writer Ivan Vazov and for its traditional architecture and cultural heritage.
  • D. Sopot City Council
    Sopot City Council is the elected municipal legislative body responsible for setting local policies, budgets, and regulations for the city of Sopot in Poland.
  • E. Serock
    Serock is a locality situated near the Western Bug River in eastern Europe.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.