Triple

T14423993
Position Surface form Disambiguated ID Type / Status
Subject Lolo-Burmese E357649 entity
Predicate includes P1393 FINISHED
Object Yi language E558049 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: Yi language | Statement: [Lolo-Burmese, includes, Yi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yi language
Context triple: [Lolo-Burmese, includes, Yi language]
  • A. Yi languages chosen
    The Yi languages are a group of closely related Tibeto-Burman languages spoken primarily by the Yi people in southwestern China, especially in Yunnan, Sichuan, Guizhou, and Guangxi.
  • B. Baeggu language
    The Baeggu language is an Oceanic language spoken by the Baeggu people in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
  • C. Hangul
    Hangul is the native alphabetic writing system of the Korean language, renowned for its scientific design and ease of learning.
  • D. Jangil language
    The Jangil language is an extinct and poorly documented Ongan language once spoken by the Jangil (Rutland Island) people of the Andaman Islands in India.
  • E. Chung language
    The Chung language is a lesser-known Pearic language spoken by indigenous communities in parts of mainland Southeast Asia, likely Cambodia or neighboring regions.
  • 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_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.
Created at: April 10, 2026, 1:18 a.m.