Triple

T18115339
Position Surface form Disambiguated ID Type / Status
Subject Chkondidi Diocese E433589 entity
Predicate hasHistoricCenter P295 FINISHED
Object Chkondidi Cathedral NE NERFINISHED

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: Chkondidi Cathedral | Statement: [Chkondidi Diocese, hasHistoricCenter, Chkondidi Cathedral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chkondidi Cathedral
Context triple: [Chkondidi Diocese, hasHistoricCenter, Chkondidi Cathedral]
  • A. Chkondidi Cathedral chosen
    Chkondidi Cathedral is a historic Georgian Orthodox church and architectural monument located in the Samegrelo region of western Georgia.
  • B. Sameba Cathedral
    Sameba Cathedral is a monumental Georgian Orthodox cathedral in Tbilisi and one of the largest religious buildings in the Caucasus.
  • C. Namirembe Cathedral
    Namirembe Cathedral is a prominent Anglican cathedral and historic religious landmark located on Namirembe Hill in Kampala, Uganda.
  • D. Lipa Cathedral
    Lipa Cathedral is a prominent Roman Catholic cathedral and historical landmark located in Lipa City, Batangas, Philippines.
  • E. Rubaga Cathedral
    Rubaga Cathedral is a prominent Roman Catholic cathedral and historic landmark located on one of the hills overlooking Kampala, Uganda.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd58ea8819081e2bec5e591e093 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.