Triple

T12649143
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Fyodorovich Vatutin E302109 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 Fyodorovich Vatutin, familyName, Vatutin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vatutin
Context triple: [Nikolai Fyodorovich 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. Veteli
    Veteli is a small rural municipality in western Finland known for its agricultural landscape and location in the Central Ostrobothnia region.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687dad6c8190bb72bfebf6636a37 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.