Triple

T9499631
Position Surface form Disambiguated ID Type / Status
Subject Don Republic E229101 entity
Predicate followedBy P78 FINISHED
Object Don Oblast
Don Oblast was an administrative division of the early Soviet state that succeeded the short-lived Don Republic in the Don River region of southern Russia.
 E802976 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: Don Oblast | Statement: [Don Republic, followedBy, Don Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Oblast
Context triple: [Don Republic, followedBy, Don Oblast]
  • A. Dolgan
    Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
  • B. Vali
    Vali is a powerful vanara king and warrior in the Hindu epic Ramayana, known for his immense strength and his fateful conflict with his brother Sugriva and Lord Rama.
  • C. Vladimirci
    Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
  • D. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • E. Rogan
    Rogan is a surname of Irish origin that is borne by various notable individuals across different fields.
  • 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: Don Oblast
Triple: [Don Republic, followedBy, Don Oblast]
Generated description
Don Oblast was an administrative division of the early Soviet state that succeeded the short-lived Don Republic in the Don River region of southern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Oblast
Target entity description: Don Oblast was an administrative division of the early Soviet state that succeeded the short-lived Don Republic in the Don River region of southern Russia.
  • A. Dolgan
    Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
  • B. Vali
    Vali is a powerful vanara king and warrior in the Hindu epic Ramayana, known for his immense strength and his fateful conflict with his brother Sugriva and Lord Rama.
  • C. Vladimirci
    Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
  • D. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • E. Rogan
    Rogan is a surname of Irish origin that is borne by various notable individuals across different fields.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983a94c48190a7ddf95a953c4ecc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d412a008190adc82e1e3d56d107 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d1313e3bac819097169f2f34cb19b4 completed April 4, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69d131a254b08190a071e838c3e56513 completed April 4, 2026, 3:43 p.m.
Created at: March 30, 2026, 7:56 p.m.