Triple

T18115342
Position Surface form Disambiguated ID Type / Status
Subject Chkondidi Diocese E433589 entity
Predicate cathedralCity P9022 FINISHED
Object Chkondidi 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 | Statement: [Chkondidi Diocese, cathedralCity, Chkondidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chkondidi
Context triple: [Chkondidi Diocese, cathedralCity, Chkondidi]
  • A. Chkondidi chosen
    Chkondidi is a historic locality in western Georgia known primarily for its medieval ecclesiastical significance and association with the Chkondidi Cathedral.
  • B. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
  • C. Nakonde
    Nakonde is a town in northeastern Zambia near the border with Tanzania, serving as a key border crossing and trade hub between the two countries.
  • D. Mochudi
    Mochudi is a large village in southeastern Botswana that serves as a cultural and historical center of the Bakgatla people.
  • E. Chilula
    Chilula is an extinct Athabaskan language once spoken by an Indigenous people of northwestern California along the lower Redwood Creek area.
  • 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.