Triple

T28243975
Position Surface form Disambiguated ID Type / Status
Subject Hmongic languages E712109 entity
Predicate hasSubgroup P747 FINISHED
Object Southwestern Hmongic languages
Southwestern Hmongic languages are a subgroup of the Hmongic branch of the Hmong-Mien language family, spoken primarily in parts of southern China and Southeast Asia.
E1805191 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: Southwestern Hmongic languages | Statement: [Hmongic languages, hasSubgroup, Southwestern Hmongic languages]
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: Southwestern Hmongic languages
Triple: [Hmongic languages, hasSubgroup, Southwestern Hmongic languages]
Generated description
Southwestern Hmongic languages are a subgroup of the Hmongic branch of the Hmong-Mien language family, spoken primarily in parts of southern China and Southeast Asia.

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_69efb51fb98881909692421959ec0170 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643c77edc8190bb23727297adb769 completed May 2, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a253785b7848190800552f74dc28ece completed June 7, 2026, 9:19 a.m.
NEDg Description generation batch_6a253c1c5b608190820e8b032fb74e40 completed June 7, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_6a253fe575c48190834250931b48111c completed June 7, 2026, 9:54 a.m.
Created at: April 27, 2026, 11 p.m.