Triple

T30226245
Position Surface form Disambiguated ID Type / Status
Subject Maykopsky District E768486 entity
Predicate hasNameInAdyghe P195047 FINISHED
Object Мыекъуапэ къедзыгъо
Мыекъуапэ къедзыгъо — это адыгское название Майкопского района, административно-территориальной единицы в Республике Адыгея России.
 E1906008 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: Мыекъуапэ къедзыгъо | Statement: [Maykopsky District, hasNameInAdyghe, Мыекъуапэ къедзыгъо]
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: Мыекъуапэ къедзыгъо
Triple: [Maykopsky District, hasNameInAdyghe, Мыекъуапэ къедзыгъо]
Generated description
Мыекъуапэ къедзыгъо — это адыгское название Майкопского района, административно-территориальной единицы в Республике Адыгея России.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNameInAdyghe
Context triple: [Maykopsky District, hasNameInAdyghe, Мыекъуапэ къедзыгъо]
  • A. hasNameInTigrinya
    Indicates that an entity is associated with a specific name expressed in the Tigrinya language.
  • B. nameInAbkhaz
    Indicates that an entity’s name is given in the Abkhaz language.
  • C. hasNameInAzerbaijani
    Indicates that an entity is known by a specific name when expressed in the Azerbaijani language.
  • D. hasNameInAlbanian
    Indicates that an entity is associated with a specific name or label expressed in the Albanian language.
  • E. GeorgianName
    Indicates that an entity has a name that is in the Georgian language or follows Georgian naming conventions.
  • F. None of above. chosen

Provenance (7 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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a276442aca48190a3e2576c2ee11d9c completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a2766016dd08190895ed5102bf1532a completed June 9, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a2766e3b5bc81908ae6c55770c85a3d completed June 9, 2026, 1:05 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
PDg Predicate description generation batch_69fd9fef7aac819089cc88dd3d00296d completed May 8, 2026, 8:33 a.m.
Created at: April 29, 2026, 7:36 p.m.