Triple

T7603269
Position Surface form Disambiguated ID Type / Status
Subject Chaco Province E180035 entity
Predicate languageSpoken P151 FINISHED
Object Mocoví language
The Mocoví language is an indigenous Guaicuruan language of the Gran Chaco region, traditionally spoken by the Mocoví people in northern Argentina.
 E675965 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: Mocoví language | Statement: [Chaco Province, languageSpoken, Mocoví language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mocoví language
Context triple: [Chaco Province, languageSpoken, Mocoví language]
  • A. Moxo language
    The Moxo language is an indigenous Arawakan language spoken by the Moxo (Mojo) people of Bolivia’s lowland regions.
  • B. 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.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Mopan language
    The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
  • E. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • 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: Mocoví language
Triple: [Chaco Province, languageSpoken, Mocoví language]
Generated description
The Mocoví language is an indigenous Guaicuruan language of the Gran Chaco region, traditionally spoken by the Mocoví people in northern Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mocoví language
Target entity description: The Mocoví language is an indigenous Guaicuruan language of the Gran Chaco region, traditionally spoken by the Mocoví people in northern Argentina.
  • A. Moxo language
    The Moxo language is an indigenous Arawakan language spoken by the Moxo (Mojo) people of Bolivia’s lowland regions.
  • B. 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.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Mopan language
    The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
  • E. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fa633081909660f653f5b073cd completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c8691bf25881909585bb04404f90da completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c8698f70a081909633b3b6d7fd45e1 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:54 p.m.