Triple

T2973240
Position Surface form Disambiguated ID Type / Status
Subject Karen State E80330 entity
Predicate commonlySpokenLanguage P7445 FINISHED
Object Karen languages
The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
E316920 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: Karen languages | Statement: [Karen State, commonlySpokenLanguage, Karen languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen languages
Context triple: [Karen State, commonlySpokenLanguage, Karen languages]
  • A. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • B. Kam language
    Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
  • C. Kiranti languages
    The Kiranti languages are a group of closely related Sino-Tibetan languages spoken primarily by the Kirati peoples of eastern Nepal.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Kangjia language
    The Kangjia language is a lesser-known Mongolic language spoken by the Kangjia people in parts of northwestern China.
  • 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: Karen languages
Triple: [Karen State, commonlySpokenLanguage, Karen languages]
Generated description
The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karen languages
Target entity description: The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
  • A. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • B. Kam language
    Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
  • C. Kiranti languages
    The Kiranti languages are a group of closely related Sino-Tibetan languages spoken primarily by the Kirati peoples of eastern Nepal.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Kangjia language
    The Kangjia language is a lesser-known Mongolic language spoken by the Kangjia people in parts of northwestern China.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e6a5448190ae32e6d2db8e7248 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10a9ba2248190b756cb92437f49ec completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10bb131e48190b0982db3a9656ddc completed March 11, 2026, 6:29 a.m.
Created at: March 8, 2026, 2:58 p.m.