Triple

T2786694
Position Surface form Disambiguated ID Type / Status
Subject Mongolic languages E61826 entity
Predicate hasPart P35 FINISHED
Object Shira Yugur language
The Shira Yugur language is an endangered Mongolic language spoken by the Yellow Yugur people in Gansu Province, China.
E300214 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: Shira Yugur language | Statement: [Mongolic languages, hasPart, Shira Yugur language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shira Yugur language
Context triple: [Mongolic languages, hasPart, Shira Yugur language]
  • A. Isnag language
    The Isnag language is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
  • B. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • C. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • D. Luri language
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • E. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • 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: Shira Yugur language
Triple: [Mongolic languages, hasPart, Shira Yugur language]
Generated description
The Shira Yugur language is an endangered Mongolic language spoken by the Yellow Yugur people in Gansu Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shira Yugur language
Target entity description: The Shira Yugur language is an endangered Mongolic language spoken by the Yellow Yugur people in Gansu Province, China.
  • A. Isnag language
    The Isnag language is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
  • B. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • C. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • D. Luri language
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • E. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb0d3488190a3f2bf47ebb35802 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6526d0c81908df1710709cc5346 completed March 10, 2026, 7:20 a.m.
NEDg Description generation batch_69afc852c0988190bba816db0940139f completed March 10, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69afc8b333848190bf4bfbc31f9c5147 completed March 10, 2026, 7:30 a.m.
Created at: March 6, 2026, 9:57 p.m.