Triple

T7743423
Position Surface form Disambiguated ID Type / Status
Subject Karenni State E175563 entity
Predicate language P15 FINISHED
Object Karen languages E316920 NE FINISHED

How this triple was built (2 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: [Karenni State, language, Karen languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen languages
Context triple: [Karenni State, language, Karen languages]
  • A. Karen languages chosen
    The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
  • B. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • C. 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.
  • D. Kaw language
    The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
  • E. Kiranti languages
    The Kiranti languages are a group of closely related Sino-Tibetan languages spoken primarily by the Kirati peoples of eastern Nepal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70388d58081909aad2c03b4501e78 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.