Triple

T14423995
Position Surface form Disambiguated ID Type / Status
Subject Lolo-Burmese E357649 entity
Predicate includes P1393 FINISHED
Object Lahu language
The Lahu language is a Tibeto-Burman language spoken primarily by the Lahu people in the border regions of China, Myanmar, Thailand, and Laos.
E1099226 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: Lahu language | Statement: [Lolo-Burmese, includes, Lahu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahu language
Context triple: [Lolo-Burmese, includes, Lahu language]
  • A. Laha language
    The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
  • B. Pa’O language
    The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
  • C. A-Hmao language
    The A-Hmao language is a Hmong-Mien language spoken primarily by the A-Hmao subgroup of the Miao people in southwestern China.
  • D. Achuar-Shiwiar language
    The Achuar-Shiwiar language is a Jivaroan language spoken by the Achuar and Shiwiar Indigenous peoples of the Amazon rainforest in Ecuador and Peru.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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: Lahu language
Triple: [Lolo-Burmese, includes, Lahu language]
Generated description
The Lahu language is a Tibeto-Burman language spoken primarily by the Lahu people in the border regions of China, Myanmar, Thailand, and Laos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lahu language
Target entity description: The Lahu language is a Tibeto-Burman language spoken primarily by the Lahu people in the border regions of China, Myanmar, Thailand, and Laos.
  • A. Laha language
    The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
  • B. Pa’O language
    The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
  • C. A-Hmao language
    The A-Hmao language is a Hmong-Mien language spoken primarily by the A-Hmao subgroup of the Miao people in southwestern China.
  • D. Achuar-Shiwiar language
    The Achuar-Shiwiar language is a Jivaroan language spoken by the Achuar and Shiwiar Indigenous peoples of the Amazon rainforest in Ecuador and Peru.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d585cc08190908bc5f9b8abdb82 completed May 8, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e0bbd6c8190b14039b3335692c7 completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.