Triple

T38315719
Position Surface form Disambiguated ID Type / Status
Subject Khamyang E1033819 entity
Predicate spokenBy P2181 FINISHED
Object Tai Khamyang people
The Tai Khamyang people are a small Tai ethnic group of northeastern India, known for their distinct language, Buddhist traditions, and cultural ties to other Tai communities of the region.
E2280297 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: Tai Khamyang people | Statement: [Khamyang, spokenBy, Tai Khamyang people]
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: Tai Khamyang people
Triple: [Khamyang, spokenBy, Tai Khamyang people]
Generated description
The Tai Khamyang people are a small Tai ethnic group of northeastern India, known for their distinct language, Buddhist traditions, and cultural ties to other Tai communities of the region.

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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc656e3888190b740547a591f84e3 completed May 7, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd4329e081909a497d8d1d4ba09b completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe7dea008190bdba31dec4813e69 completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff38219081908809f9918423dd0b completed June 29, 2026, 5:14 a.m.
Created at: May 3, 2026, 4:30 p.m.