Triple

T3000390
Position Surface form Disambiguated ID Type / Status
Subject Akaki Tsereteli E81171 entity
Predicate familyName P18 FINISHED
Object Tsereteli E81171 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: Tsereteli | Statement: [Akaki Tsereteli, familyName, Tsereteli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsereteli
Context triple: [Akaki Tsereteli, familyName, Tsereteli]
  • A. Mkhedruli
    Mkhedruli is the modern Georgian script used for writing the Georgian language and several related Kartvelian languages.
  • B. Galaktion Tabidze
    Galaktion Tabidze was a prominent 20th-century Georgian poet, celebrated for his innovative lyricism and major influence on modern Georgian literature.
  • C. Mtsvane Kakhuri
    Mtsvane Kakhuri is an indigenous Georgian white grape variety from the Kakheti region, known for producing aromatic, fresh wines often used in both classic and traditional qvevri winemaking.
  • D. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • E. Akaki Tsereteli chosen
    Akaki Tsereteli was a prominent 19th-century Georgian poet, writer, and public figure, celebrated as one of the key contributors to modern Georgian literature and national revival.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea057a48190a7911d8d6046dd3d completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 2:59 p.m.