Triple

T4366761
Position Surface form Disambiguated ID Type / Status
Subject Chkondidi Cathedral E98792 entity
Predicate namedAfter P63 FINISHED
Object Chkondidi
Chkondidi is a historic locality in western Georgia known primarily for its medieval ecclesiastical significance and association with the Chkondidi Cathedral.
 E442849 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: Chkondidi | Statement: [Chkondidi Cathedral, namedAfter, Chkondidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chkondidi
Context triple: [Chkondidi Cathedral, namedAfter, Chkondidi]
  • A. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • B. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • C. Ndungane
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • D. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • E. Mokorotlo
    Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
  • 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: Chkondidi
Triple: [Chkondidi Cathedral, namedAfter, Chkondidi]
Generated description
Chkondidi is a historic locality in western Georgia known primarily for its medieval ecclesiastical significance and association with the Chkondidi Cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chkondidi
Target entity description: Chkondidi is a historic locality in western Georgia known primarily for its medieval ecclesiastical significance and association with the Chkondidi Cathedral.
  • A. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • B. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • C. Ndungane
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • D. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • E. Mokorotlo
    Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35201be7081908808e81634060f95 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627dd58dc819090d81177849fdc63 completed March 15, 2026, 3:30 a.m.
NEDg Description generation batch_69b628fe10908190978dd0361628f54f completed March 15, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69b629ab52c881909f7fbef6f77b5bc4 completed March 15, 2026, 3:38 a.m.
Created at: March 12, 2026, 11:17 p.m.