Triple

T2957631
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Tai E79969 entity
Predicate hasMajorLanguage P207 FINISHED
Object Tai Dam language
The Tai Dam language is a Southwestern Tai language spoken primarily by the Tai Dam (Black Tai) people in parts of Vietnam, Laos, Thailand, and China.
E313544 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 Dam language | Statement: [Southwestern Tai, hasMajorLanguage, Tai Dam language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tai Dam language
Context triple: [Southwestern Tai, hasMajorLanguage, Tai Dam language]
  • A. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Kavalan language
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • D. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • E. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • 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 Dam language
Triple: [Southwestern Tai, hasMajorLanguage, Tai Dam language]
Generated description
The Tai Dam language is a Southwestern Tai language spoken primarily by the Tai Dam (Black Tai) people in parts of Vietnam, Laos, Thailand, and China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tai Dam language
Target entity description: The Tai Dam language is a Southwestern Tai language spoken primarily by the Tai Dam (Black Tai) people in parts of Vietnam, Laos, Thailand, and China.
  • A. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Kavalan language
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • D. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • E. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc8a10848190b8eec482252eb76b completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd407bd08190b62788e8d1cdd205 completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b0fd91541c8190a481b55eb9b0ac35 completed March 11, 2026, 5:28 a.m.
Created at: March 8, 2026, 2:57 p.m.