Triple

T37104683
Position Surface form Disambiguated ID Type / Status
Subject Pingtang County E918809 entity
Predicate languageGroup P3349 FINISHED
Object Buyei ethnic group
The Buyei ethnic group is a Tai-speaking minority primarily living in Guizhou and neighboring regions of southwestern China, known for its distinct language, terraced agriculture, and rich folk traditions.
E2212478 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: Buyei ethnic group | Statement: [Pingtang County, languageGroup, Buyei ethnic group]
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: Buyei ethnic group
Triple: [Pingtang County, languageGroup, Buyei ethnic group]
Generated description
The Buyei ethnic group is a Tai-speaking minority primarily living in Guizhou and neighboring regions of southwestern China, known for its distinct language, terraced agriculture, and rich folk traditions.

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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2ff1cbd48190b5b910c9abbe0439 completed May 6, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdd7df748190b71cb85588a1774e completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3eff236cfc8190860fe9c296aa5fd2 completed June 26, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a3f0a529f148190b754be085e044efd completed June 26, 2026, 11:25 p.m.
Created at: May 3, 2026, 4:14 p.m.