Triple

T2052031
Position Surface form Disambiguated ID Type / Status
Subject Don Cossack forces E45589 entity
Predicate associatedWith P37 FINISHED
Object Don Republic E229101 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: Don Republic | Statement: [Don Cossack forces, associatedWith, Don Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Republic
Context triple: [Don Cossack forces, associatedWith, Don Republic]
  • A. Don Republic chosen
    Don Republic was a short-lived anti-Bolshevik Cossack state that emerged during the Russian Civil War in the Don River region.
  • B. Rif Republic
    The Rif Republic was a short-lived, unrecognized Berber-led state in northern Morocco (1921–1926) that emerged from anti-colonial resistance against Spanish and French rule under the leadership of Abd el-Krim.
  • C. Natalia Republic
    The Natalia Republic was a short-lived 19th-century Boer republic in southeastern Africa established by Voortrekker settlers before being annexed by the British.
  • D. República
    República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
  • E. La Unión
    La Unión is a Chilean city in the Los Ríos Region known for its agricultural activities, dairy production, and role as a local commercial center.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99078d88190bc30fa4596f0bae8 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2719acbc819081705bc0449a5995 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.