Triple

T30436225
Position Surface form Disambiguated ID Type / Status
Subject Дом Советов РСФСР E774317 entity
Predicate имеетПрозвище P149399 FINISHED
Object Белый дом
Белый дом — это здание правительства России в Москве, ставшее одним из главных политических символов постсоветской эпохи.
 E1918899 NE FINISHED

How this triple was built (3 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: Белый дом | Statement: [Дом Советов РСФСР, имеетПрозвище, Белый дом]
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: Белый дом
Triple: [Дом Советов РСФСР, имеетПрозвище, Белый дом]
Generated description
Белый дом — это здание правительства России в Москве, ставшее одним из главных политических символов постсоветской эпохи.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: имеетПрозвище
Context triple: [Дом Советов РСФСР, имеетПрозвище, Белый дом]
  • A. hasAffectionateNicknameFor
    Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
  • B. nicknamedFor
    Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
  • C. hasNicknames chosen
    Indicates that an entity is known or referred to by one or more alternative informal names.
  • D. isOfficialNicknameOf
    Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
  • E. dedicatedToOrNicknameOf
    Indicates that one entity is either the dedicatee of something (e.g., a work, object, or honor) or serves as an alternative name or nickname for another entity.
  • F. None of above.

Provenance (6 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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f697eabb048190bc01a830f14942c6 completed May 3, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27be5d87348190bc459ac08de01430 completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27c3eb78c4819082d460d3f9c7373a completed June 9, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a27c466a2848190955a18c5f36837c0 completed June 9, 2026, 7:44 a.m.
PD Predicate disambiguation batch_69f69664142c8190bc695501056b0236 completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 8:07 p.m.