Triple

T19209187
Position Surface form Disambiguated ID Type / Status
Subject Aymaran languages E480312 entity
Predicate associatedPeople P37 FINISHED
Object Kawki people
The Kawki people are an indigenous Andean group traditionally inhabiting parts of Peru, known for their distinct cultural heritage and use of a now nearly extinct Aymaran variety.
E1783385 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: Kawki people | Statement: [Aymaran languages, associatedPeople, Kawki 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: Kawki people
Triple: [Aymaran languages, associatedPeople, Kawki people]
Generated description
The Kawki people are an indigenous Andean group traditionally inhabiting parts of Peru, known for their distinct cultural heritage and use of a now nearly extinct Aymaran variety.

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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a000188190afb762ea24bc3deb completed April 20, 2026, 10:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12da59d238819092bc4602e5ed6d0d completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 10, 2026, 1:20 p.m.