Triple

T1563142
Position Surface form Disambiguated ID Type / Status
Subject Karachay-Cherkessia E33372 entity
Predicate ethnicGroup P194 FINISHED
Object Abazins E143179 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: Abazins | Statement: [Karachay-Cherkessia, ethnicGroup, Abazins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abazins
Context triple: [Karachay-Cherkessia, ethnicGroup, Abazins]
  • A. Abazins chosen
    Abazins are a small Northwest Caucasian ethnic group closely related to the Abkhazians, traditionally inhabiting the North Caucasus region and speaking the Abaza language.
  • B. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • C. Louhans
    Louhans is a small historic town in eastern France known for its arcaded main street and traditional Bresse architecture.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908886efc8190a630ef1e06d0d9cb completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3717a9a08190b3d997bb7bc6e14f completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.