Triple

T18259099
Position Surface form Disambiguated ID Type / Status
Subject Vasile E437298 entity
Predicate hasVariant P455 FINISHED
Object Vasilie 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: Vasilie | Statement: [Vasile, hasVariant, Vasilie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasilie
Context triple: [Vasile, hasVariant, Vasilie]
  • A. Vasil chosen
    Vasil is a masculine given name, commonly used in Slavic and Balkan countries, that is related to names like Vasyl and Basil.
  • B. Bogdana
    Bogdana is a Slavic female given name, generally meaning “given by God” or “God’s gift.”
  • C. Tikhon
    Tikhon was the religious name of Patriarch Tikhon of Moscow, the early 20th-century head of the Russian Orthodox Church known for leading it through the turmoil of the Russian Revolution and early Soviet period.
  • D. Anatoli
    Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
  • E. Anatolii
    Anatolii is a masculine given name, commonly used in Slavic countries as a variant of the name Anatoly.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd89899c8190b8b652c4f61aa5cf completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.