Triple

T12835839
Position Surface form Disambiguated ID Type / Status
Subject Sakmara River E306908 entity
Predicate nameInRussian P20560 FINISHED
Object Сакмара
Сакмара — река в России, являющаяся крупным притоком реки Урал и протекающая по территории Оренбургской области и Башкортостана.
 E1005124 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: Сакмара | Statement: [Sakmara River, nameInRussian, Сакмара]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Сакмара
Context triple: [Sakmara River, nameInRussian, Сакмара]
  • A. Sutsilvan
    Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
  • B. Sasa
    Sasa is a given name and surname used in various cultures, often as a variant of names like Saša or Sasha.
  • C. Saratak
    Saratak is a rural village located in Armenia's Shirak Province.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • 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: Сакмара
Triple: [Sakmara River, nameInRussian, Сакмара]
Generated description
Сакмара — река в России, являющаяся крупным притоком реки Урал и протекающая по территории Оренбургской области и Башкортостана.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Сакмара
Target entity description: Сакмара — река в России, являющаяся крупным притоком реки Урал и протекающая по территории Оренбургской области и Башкортостана.
  • A. Sutsilvan
    Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
  • B. Sasa
    Sasa is a given name and surname used in various cultures, often as a variant of names like Saša or Sasha.
  • C. Saratak
    Saratak is a rural village located in Armenia's Shirak Province.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff015f4819090070a01f3938acc completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edaa6288190a775f6e852fa941b completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f6900385548190befe667dc4e33af9 completed May 3, 2026, midnight
NED2 Entity disambiguation (via description) batch_69f690c0bd208190bd1f04a9640ad1ce completed May 3, 2026, 12:03 a.m.
Created at: April 9, 2026, 5:35 p.m.