Triple

T15091518
Position Surface form Disambiguated ID Type / Status
Subject Principality of Imereti E360426 entity
Predicate borderedBy P224 FINISHED
Object Samtskhe E107582 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: Samtskhe | Statement: [Principality of Imereti, borderedBy, Samtskhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samtskhe
Context triple: [Principality of Imereti, borderedBy, Samtskhe]
  • A. Samtskhe chosen
    Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
  • B. Sakule
    Sakule is a village located within the municipality of Opovo in Serbia, known as a small rural settlement in the Vojvodina region.
  • C. Samtah
    Samtah is a town in southwestern Saudi Arabia located in the Jazan Region near the border with Yemen.
  • D. Motshegetsi
    Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
  • E. Rokhele
    Rokhele is a central female character in Sholem Aleichem’s Yiddish novel "Stempenyu," portrayed as a young married woman whose emotional turmoil and attraction to the charismatic fiddler Stempenyu drive much of the story’s romantic and moral conflict.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1d7a0c819096b035f8ca8d0e90 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.