Triple

T18259119
Position Surface form Disambiguated ID Type / Status
Subject Basilia E437299 entity
Predicate hasRelatedName P3889 FINISHED
Object Vasilia 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: Vasilia | Statement: [Basilia, hasRelatedName, Vasilia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasilia
Context triple: [Basilia, hasRelatedName, Vasilia]
  • A. Svechin
    Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • 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. Ignatyev
    Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
  • E. Vasil chosen
    Vasil is a masculine given name, commonly used in Slavic and Balkan countries, that is related to names like Vasyl and Basil.
  • 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.