Triple

T12948694
Position Surface form Disambiguated ID Type / Status
Subject Mayaimi culture E309833 entity
Predicate hasLanguage P15 FINISHED
Object Mayaimi language
The Mayaimi language was the now-extinct indigenous language once spoken by the Mayaimi people around Lake Okeechobee in southern Florida.
 E1013099 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: Mayaimi language | Statement: [Mayaimi culture, hasLanguage, Mayaimi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mayaimi language
Context triple: [Mayaimi culture, hasLanguage, Mayaimi language]
  • A. 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.
  • 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. Mopan language
    The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
  • E. Cuicatec language
    The Cuicatec language is an indigenous Oto-Manguean language of Mexico spoken primarily in northern Oaxaca.
  • 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: Mayaimi language
Triple: [Mayaimi culture, hasLanguage, Mayaimi language]
Generated description
The Mayaimi language was the now-extinct indigenous language once spoken by the Mayaimi people around Lake Okeechobee in southern Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mayaimi language
Target entity description: The Mayaimi language was the now-extinct indigenous language once spoken by the Mayaimi people around Lake Okeechobee in southern Florida.
  • A. 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.
  • 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. Mopan language
    The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
  • E. Cuicatec language
    The Cuicatec language is an indigenous Oto-Manguean language of Mexico spoken primarily in northern Oaxaca.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d9669c819090471eb7e035d83d completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9a1ca54819085da2ca592bf5219 completed May 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb337b708190a874cec01d588236 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:43 p.m.