Triple

T8941745
Position Surface form Disambiguated ID Type / Status
Subject Alexander Dovzhenko E212917 entity
Predicate placeOfBirth P1 FINISHED
Object Sosnytsia E744584 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: Sosnytsia | Statement: [Alexander Dovzhenko, placeOfBirth, Sosnytsia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sosnytsia
Context triple: [Alexander Dovzhenko, placeOfBirth, Sosnytsia]
  • A. Sosnytsia chosen
    Sosnytsia is a small historic town in northern Ukraine known for its traditional architecture and rural character.
  • B. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • C. Stryi
    Stryi is a historic city in western Ukraine known as an important regional center of the Lviv Oblast.
  • D. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • E. Sorochyntsi
    Sorochyntsi is a village in central Ukraine best known as the birthplace of writer Nikolai Gogol and for its traditional fairs and cultural heritage.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1f418708190b1272209f61e3a51 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.