Triple

T10909557
Position Surface form Disambiguated ID Type / Status
Subject Cahuapanan E257657 entity
Predicate hasSubgroup P747 FINISHED
Object Chayahuita language
The Chayahuita language is an indigenous Cahuapanan language spoken by the Chayahuita people of the Peruvian Amazon.
 E894145 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: Chayahuita language | Statement: [Cahuapanan, hasSubgroup, Chayahuita language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chayahuita language
Context triple: [Cahuapanan, hasSubgroup, Chayahuita language]
  • A. Sipakapense language
    The Sipakapense language is a Mayan language spoken by the Sipakapense people in the western highlands of Guatemala.
  • B. Guarijío language
    The Guarijío language is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • E. Secoya language
    The Secoya language is a Western Tucanoan language spoken by the Secoya people of the Amazonian regions of Ecuador and Peru.
  • 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: Chayahuita language
Triple: [Cahuapanan, hasSubgroup, Chayahuita language]
Generated description
The Chayahuita language is an indigenous Cahuapanan language spoken by the Chayahuita people of the Peruvian Amazon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chayahuita language
Target entity description: The Chayahuita language is an indigenous Cahuapanan language spoken by the Chayahuita people of the Peruvian Amazon.
  • A. Sipakapense language
    The Sipakapense language is a Mayan language spoken by the Sipakapense people in the western highlands of Guatemala.
  • B. Guarijío language
    The Guarijío language is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • E. Secoya language
    The Secoya language is a Western Tucanoan language spoken by the Secoya people of the Amazonian regions of Ecuador and Peru.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77068e5488190bbc881ebf51d6b2e completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216da42a0819095def6a691abf107 completed April 17, 2026, 11:17 a.m.
NEDg Description generation batch_69e21d8952c881908a952de83754e049 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e2247fbd348190bb0d221923dac892 completed April 17, 2026, 12:16 p.m.
Created at: April 8, 2026, 9:22 p.m.