Triple

T16351390
Position Surface form Disambiguated ID Type / Status
Subject ქისტები E397068 entity
Predicate mainValleySettlements P123075 FINISHED
Object Jokolo
Jokolo is a village in Georgia’s Pankisi Gorge, known as one of the primary settlements of the Kist community.
 E1208654 NE FINISHED

How this triple was built (4 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: Jokolo | Statement: [ქისტები, mainValleySettlements, Jokolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jokolo
Context triple: [ქისტები, mainValleySettlements, Jokolo]
  • A. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • B. Kololo
    Kololo refers to the Sotho-speaking people whose 19th-century migration and conquest in south-central Africa significantly influenced the formation and language of the Lozi kingdom in present-day Zambia.
  • C. Dokolo
    Dokolo is a town in northern Uganda that serves as the administrative and commercial center of Dokolo District.
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jokolo
Triple: [ქისტები, mainValleySettlements, Jokolo]
Generated description
Jokolo is a village in Georgia’s Pankisi Gorge, known as one of the primary settlements of the Kist community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jokolo
Target entity description: Jokolo is a village in Georgia’s Pankisi Gorge, known as one of the primary settlements of the Kist community.
  • A. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • B. Kololo
    Kololo refers to the Sotho-speaking people whose 19th-century migration and conquest in south-central Africa significantly influenced the formation and language of the Lozi kingdom in present-day Zambia.
  • C. Dokolo
    Dokolo is a town in northern Uganda that serves as the administrative and commercial center of Dokolo District.
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • F. None of above. chosen

Provenance (5 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facb37d0819093fe45446f1e79c1 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db6375c81908c64dbe2bc987b1a completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a00304d7c888190a018d865eb51f0a0 completed May 10, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a00309ceba88190a982b439a1e72e78 completed May 10, 2026, 7:15 a.m.
Created at: April 10, 2026, 5:07 a.m.