Triple

T11586502
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Vatutin E274768 entity
Predicate familyName P18 FINISHED
Object Vatutin E274768 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: Vatutin | Statement: [Nikolai Vatutin, familyName, Vatutin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vatutin
Context triple: [Nikolai Vatutin, familyName, Vatutin]
  • A. Vatutin chosen
    Vatutin is a Russian surname most notably associated with Soviet World War II general Nikolai Vatutin.
  • B. Vaisigano
    Vaisigano is a village and political district on the Samoan island of Savaiʻi, known for its traditional communities and coastal setting in the Pacific nation of Samoa.
  • C. Vatutine
    Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
  • D. Vitsa
    Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
  • E. Vyatka
    Vyatka was a historic region and town in northeastern European Russia, known as a frontier area that was gradually incorporated into the centralized Russian state.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89462203881908870e991a5b21770 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7143ee0548190b71ddae0ab7c68cb completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.