Triple

T15794530
Position Surface form Disambiguated ID Type / Status
Subject ილია ჭავჭავაძე E382941 entity
Predicate პროფესია P103653 FINISHED
Object იურისტი LITERAL 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: იურისტი | Statement: [ილია ჭავჭავაძე, პროფესია, იურისტი]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: პროფესია
Context triple: [ილია ჭავჭავაძე, პროფესია, იურისტი]
  • A. конфессия
    Indicates that an entity is associated with, belongs to, or is characterized by a particular religious denomination or confession.
  • B. leftProfession
    Indicates that an entity has stopped or abandoned a particular profession or occupation they previously held.
  • C. professional
    Indicates that one entity has a formal, occupation-related role, service, or expertise in relation to another entity.
  • D. professionalCategory chosen
    Indicates the classification of an entity according to its professional field, role, or occupational domain.
  • E. professionalHead
    Indicates that one entity serves as the primary professional leader or chief authority over another entity within an organizational or occupational context.
  • F. None of above.

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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4db55308190875a04f982c44cea completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e00537bd1c81908d6e832792fd934f completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:48 a.m.