Triple

T6469702
Position Surface form Disambiguated ID Type / Status
Subject Tsimané people E142316 entity
Predicate language P15 FINISHED
Object Tsimané language
The Tsimané language is an indigenous South American language of the Mosetenan family spoken by the Tsimané people of Bolivia’s Amazonian lowlands.
 E598487 NE FINISHED

How this triple was built (4 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: Tsimané language | Statement: [Tsimané people, language, Tsimané language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tsimané language
Context triple: [Tsimané people, language, Tsimané language]
  • A. Enawené-Nawé language
    The Enawené-Nawé language is an indigenous Arawakan language spoken by the Enawené-Nawé people of the Brazilian Amazon, known for its highly endangered status and rich oral tradition.
  • B. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Awajún language
    Awajún language is an indigenous Jivaroan language spoken primarily by the Awajún (Aguaruna) people of northern Peru.
  • E. Juruna language
    The Juruna language is an indigenous Tupian language spoken by the Juruna (Yudjá) people of the Xingu region in Brazil.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tsimané language
Triple: [Tsimané people, language, Tsimané language]
Generated description
The Tsimané language is an indigenous South American language of the Mosetenan family spoken by the Tsimané people of Bolivia’s Amazonian lowlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tsimané language
Target entity description: The Tsimané language is an indigenous South American language of the Mosetenan family spoken by the Tsimané people of Bolivia’s Amazonian lowlands.
  • A. Enawené-Nawé language
    The Enawené-Nawé language is an indigenous Arawakan language spoken by the Enawené-Nawé people of the Brazilian Amazon, known for its highly endangered status and rich oral tradition.
  • B. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Awajún language
    Awajún language is an indigenous Jivaroan language spoken primarily by the Awajún (Aguaruna) people of northern Peru.
  • E. Juruna language
    The Juruna language is an indigenous Tupian language spoken by the Juruna (Yudjá) people of the Xingu region in Brazil.
  • F. None of above. chosen

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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67403f7bc81908020e7f488121f8f completed March 27, 2026, 12:11 p.m.
NEDg Description generation batch_69c6754b0a2c81908cec3d683f8117fc completed March 27, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69c6766d8eb48190bdcb6e494b04d90b completed March 27, 2026, 12:22 p.m.
Created at: March 22, 2026, 4:50 p.m.