Triple

T17194791
Position Surface form Disambiguated ID Type / Status
Subject Narts E417319 entity
Predicate hasMember P10 FINISHED
Object Batraz E417322 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: Batraz | Statement: [Narts, hasMember, Batraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batraz
Context triple: [Narts, hasMember, Batraz]
  • A. Batraz chosen
    Batraz is a legendary hero and central warrior figure in the Caucasian Nart sagas, renowned for his supernatural strength and fiery, iron body.
  • B. Zurab
    Zurab is a masculine given name of Georgian origin, notably borne by sculptor and architect Zurab Tsereteli.
  • C. Avtandil
    Avtandil is the noble and valiant Georgian knight who serves as the central hero of Shota Rustaveli’s medieval epic poem "The Knight in the Panther’s Skin."
  • D. Tabidze
    Tabidze is a Georgian surname most notably associated with the prominent 20th-century poet Titsian Tabidze.
  • E. Mikha-Tskhali
    Mikha-Tskhali is the historical name of the Georgian town now known as Senaki, located in the Samegrelo-Zemo Svaneti region of western Georgia.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da9e6208190b5c4e5925e840217 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd5f834819080ad2a2ffdc017b6 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.