Triple

T17168281
Position Surface form Disambiguated ID Type / Status
Subject Dargwa language E416662 entity
Predicate hasDialect P4251 FINISHED
Object Megeb dialect
The Megeb dialect is a regional variety of the Dargwa language spoken by Dargin people in the North Caucasus region of Dagestan, Russia.
 E483548 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: Megeb dialect | Statement: [Dargwa language, hasDialect, Megeb dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Megeb dialect
Context triple: [Dargwa language, hasDialect, Megeb dialect]
  • A. Kikai dialect
    The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
  • B. Gaika dialect
    The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
  • C. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • D. Akusha dialect
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • E. 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.
  • 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: Megeb dialect
Triple: [Dargwa language, hasDialect, Megeb dialect]
Generated description
The Megeb dialect is a regional variety of the Dargwa language spoken by Dargin people in the North Caucasus region of Dagestan, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Megeb dialect
Target entity description: The Megeb dialect is a regional variety of the Dargwa language spoken by Dargin people in the North Caucasus region of Dagestan, Russia.
  • A. Kikai dialect
    The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
  • B. Gaika dialect
    The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
  • C. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • D. Akusha dialect chosen
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • E. 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.
  • F. None of above.

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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483d754c819089607cfc87d08d42 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014964b0d88190a37fa6be0c837630 completed May 11, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a014a20bb2c8190bbae3009783efc00 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:37 a.m.