Triple

T3011706
Position Surface form Disambiguated ID Type / Status
Subject მტკვარი E82235 entity
Predicate ტოპონიმიაზე_ზემოქმედება P20238 FINISHED
Object მტკვართან დაკავშირებული მრავალი დასახლების სახელწოდება 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: მტკვართან დაკავშირებული მრავალი დასახლების სახელწოდება | Statement: [მტკვარი, ტოპონიმიაზე_ზემოქმედება, მტკვართან დაკავშირებული მრავალი დასახლების სახელწოდება]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ტოპონიმიაზე_ზემოქმედება
Context triple: [მტკვარი, ტოპონიმიაზე_ზემოქმედება, მტკვართან დაკავშირებული მრავალი დასახლების სახელწოდება]
  • A. isToponymic
    Indicates that something is related to or derived from a place name (a toponym).
  • B. hasToponymicUse chosen
    Indicates that a term or name is used as a toponym, i.e., as a place name or geographic designation.
  • C. hasToponymicForm
    Indicates that one entity is a toponymic (place-name-based) form or variant derived from another entity.
  • D. commonInOnomastics
    Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
  • E. influencesTopographyOf
    Indicates that one entity affects, shapes, or modifies the physical surface features or terrain characteristics of another entity.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a66c334819082d1d320c48eca1b completed March 8, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69ad961a97188190809dc73430a8eda8 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.