Triple

T10920911
Position Surface form Disambiguated ID Type / Status
Subject Tai Viet script E257942 entity
Predicate usedFor P98 FINISHED
Object Tai Yo language
The Tai Yo language is a Southwestern Tai language spoken by the Tai Yo ethnic group in parts of Vietnam, Laos, and Thailand.
 E896064 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: Tai Yo language | Statement: [Tai Viet script, usedFor, Tai Yo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tai Yo language
Context triple: [Tai Viet script, usedFor, Tai Yo language]
  • A. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • B. Tai Ya language
    The Tai Ya language is a Southwestern Tai language spoken primarily by the Tai Ya people in parts of China and Southeast Asia.
  • C. Ta Oi language
    The Ta Oi language is an Austroasiatic language spoken by the Ta Oi people in parts of Laos and Vietnam, belonging to the Katuic branch.
  • D. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • E. Keiyo language
    The Keiyo language is a Southern Nilotic language spoken by the Keiyo people of Kenya’s Rift Valley, closely associated with and linguistically similar to other Kalenjin languages such as Kipsigis.
  • 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: Tai Yo language
Triple: [Tai Viet script, usedFor, Tai Yo language]
Generated description
The Tai Yo language is a Southwestern Tai language spoken by the Tai Yo ethnic group in parts of Vietnam, Laos, and Thailand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tai Yo language
Target entity description: The Tai Yo language is a Southwestern Tai language spoken by the Tai Yo ethnic group in parts of Vietnam, Laos, and Thailand.
  • A. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • B. Tai Ya language
    The Tai Ya language is a Southwestern Tai language spoken primarily by the Tai Ya people in parts of China and Southeast Asia.
  • C. Ta Oi language
    The Ta Oi language is an Austroasiatic language spoken by the Ta Oi people in parts of Laos and Vietnam, belonging to the Katuic branch.
  • D. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • E. Keiyo language
    The Keiyo language is a Southern Nilotic language spoken by the Keiyo people of Kenya’s Rift Valley, closely associated with and linguistically similar to other Kalenjin languages such as Kipsigis.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77082a1488190850a4409339c3e1e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bcee80481909a9ec8a03bc5266d completed April 17, 2026, 1:55 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:22 p.m.