Triple

T4507958
Position Surface form Disambiguated ID Type / Status
Subject Vasily E101378 entity
Predicate hasCognate P2525 FINISHED
Object Vasil E437298 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: Vasil | Statement: [Vasily, hasCognate, Vasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasil
Context triple: [Vasily, hasCognate, Vasil]
  • A. Vasile chosen
    Vasile is a masculine given name, primarily used in Romania and Moldova, derived from the Greek name Basil (Basileios), meaning "kingly" or "royal."
  • B. Vasiliko
    Vasiliko is a modern settlement in Greece located near the archaeological site of the ancient city of Sicyon.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Georgi
    Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570f9b1c8190b52ace855dbf6641 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f760658819085ca8c631894b486 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.