Triple

T9813935
Position Surface form Disambiguated ID Type / Status
Subject Malka River E238348 entity
Predicate hasNameInLanguage P15 FINISHED
Object Малка
Малка — это река на Северном Кавказе в России, являющаяся правым притоком Терека и протекающая по территории Кабардино-Балкарии.
 E823521 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: Малка | Statement: [Malka River, hasNameInLanguage, Малка]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Малка
Context triple: [Malka River, hasNameInLanguage, Малка]
  • A. Malé
    Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
  • B. Byala
    Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
  • C. Lilla
    Lilla is a feminine given name, notably borne by American Impressionist painter Lilla Cabot Perry.
  • D. Nydri
    Nydri is a popular coastal village and tourist resort on the Greek island of Lefkada, known for its scenic harbor, nearby islets, and vibrant waterfront.
  • E. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • 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: Малка
Triple: [Malka River, hasNameInLanguage, Малка]
Generated description
Малка — это река на Северном Кавказе в России, являющаяся правым притоком Терека и протекающая по территории Кабардино-Балкарии.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Малка
Target entity description: Малка — это река на Северном Кавказе в России, являющаяся правым притоком Терека и протекающая по территории Кабардино-Балкарии.
  • A. Malé
    Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
  • B. Byala
    Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
  • C. Lilla
    Lilla is a feminine given name, notably borne by American Impressionist painter Lilla Cabot Perry.
  • D. Nydri
    Nydri is a popular coastal village and tourist resort on the Greek island of Lefkada, known for its scenic harbor, nearby islets, and vibrant waterfront.
  • E. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb22410208190b82b81a4df800f80 completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc67db68819093217c9a74e72fbf completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:30 p.m.