Triple

T24073428
Position Surface form Disambiguated ID Type / Status
Subject Cayubaba E596297 entity
Predicate spokenBy P2181 FINISHED
Object Cayubaba people
The Cayubaba people are an Indigenous group of Bolivia traditionally inhabiting the Beni region, known for their distinct cultural practices and their nearly extinct Cayubaba language.
E1625292 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: Cayubaba people | Statement: [Cayubaba, spokenBy, Cayubaba 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: Cayubaba people
Triple: [Cayubaba, spokenBy, Cayubaba people]
Generated description
The Cayubaba people are an Indigenous group of Bolivia traditionally inhabiting the Beni region, known for their distinct cultural practices and their nearly extinct Cayubaba language.

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_69e288c3999c8190809b282a04813dec completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1db1bb98081909f56cd7a06dba054 completed April 29, 2026, 10:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcfbd8c88190be8b023849ce9590 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fc0d4bbb48190ad0a2adfd7dc3746 completed May 22, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc18011c48190bad1e30c2ef39b34 completed May 22, 2026, 2:37 a.m.
Created at: April 17, 2026, 10:42 p.m.