Triple

T7513652
Position Surface form Disambiguated ID Type / Status
Subject Nogai language E177586 entity
Predicate hasDialect P4251 FINISHED
Object Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
E670721 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: Aknogai dialect | Statement: [Nogai language, hasDialect, Aknogai dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aknogai dialect
Context triple: [Nogai language, hasDialect, Aknogai dialect]
  • A. Akusha dialect
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • B. Nohurli dialect
    The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
  • C. Satawan dialect
    The Satawan dialect is a regional variety of the Mortlockese language spoken primarily on Satawan Atoll in the Federated States of Micronesia.
  • D. Namoluk dialect
    The Namoluk dialect is a regional variety of the Mortlockese language spoken primarily on Namoluk Atoll in the Federated States of Micronesia.
  • E. Addu dialect
    The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological and lexical features.
  • 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: Aknogai dialect
Triple: [Nogai language, hasDialect, Aknogai dialect]
Generated description
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aknogai dialect
Target entity description: The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
  • A. Akusha dialect
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • B. Nohurli dialect
    The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
  • C. Satawan dialect
    The Satawan dialect is a regional variety of the Mortlockese language spoken primarily on Satawan Atoll in the Federated States of Micronesia.
  • D. Namoluk dialect
    The Namoluk dialect is a regional variety of the Mortlockese language spoken primarily on Namoluk Atoll in the Federated States of Micronesia.
  • E. Addu dialect
    The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological and lexical features.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d6ccb08190a568a9b58bfbd0cc completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84619aac8819083a1d7380f4b30d3 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c847d251f081909f77d851be07948c completed March 28, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69c8487229548190861491b1b0720adb completed March 28, 2026, 9:30 p.m.
Created at: March 27, 2026, 3:45 p.m.