Triple

T10638693
Position Surface form Disambiguated ID Type / Status
Subject Vasyl E250659 entity
Predicate hasRelatedName P3889 FINISHED
Object Vasile 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: Vasile | Statement: [Vasyl, hasRelatedName, Vasile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasile
Context triple: [Vasyl, hasRelatedName, Vasile]
  • 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. Timotei
    Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
  • C. Viorel
    Viorel is a person known primarily as the child of Athena.
  • D. Pantelimon
    Pantelimon is a residential neighborhood in eastern Bucharest, Romania, known for its large housing estates and proximity to the city’s industrial and commercial areas.
  • E. Alexandru
    Alexandru is a masculine given name of Greek origin, commonly used in Eastern Europe and derived from the name Alexander.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfaf12188190a5774d4d64674653 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4555e48190be39c0a7698b4282 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:04 p.m.