Triple

T14812844
Position Surface form Disambiguated ID Type / Status
Subject Ros River E348228 entity
Predicate hasNameInLanguage P15 FINISHED
Object Рось
Рось — це річка в Україні, права притока Дніпра, що протікає переважно територією Київської та Черкаської областей.
 E1125634 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: Рось | Statement: [Ros River, hasNameInLanguage, Рось]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Рось
Context triple: [Ros River, hasNameInLanguage, Рось]
  • A. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • B. Bobr River
    The Bobr River is a tributary watercourse in Belarus that flows through the central part of the country before joining the Berezina River.
  • C. Byk River
    The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
  • D. Gogol River
    The Gogol River is a waterway in Papua New Guinea that serves as a tributary within the larger Ramu River basin.
  • E. Kuban
    Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • 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: Рось
Triple: [Ros River, hasNameInLanguage, Рось]
Generated description
Рось — це річка в Україні, права притока Дніпра, що протікає переважно територією Київської та Черкаської областей.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Рось
Target entity description: Рось — це річка в Україні, права притока Дніпра, що протікає переважно територією Київської та Черкаської областей.
  • A. Berland River
    The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
  • B. Bobr River
    The Bobr River is a tributary watercourse in Belarus that flows through the central part of the country before joining the Berezina River.
  • C. Byk River
    The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
  • D. Gogol River
    The Gogol River is a waterway in Papua New Guinea that serves as a tributary within the larger Ramu River basin.
  • E. Kuban
    Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b47389c8190ab0a46e3b4653a2a completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c55d6b88190b0f57009be962194 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e56e7e88190b70497e168d707de completed May 8, 2026, 11:14 p.m.
Created at: April 10, 2026, 1:48 a.m.