Triple

T6561489
Position Surface form Disambiguated ID Type / Status
Subject Yucatecan branch E153792 entity
Predicate hasMember P10 FINISHED
Object Mopan language
The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
 E600290 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: Mopan language | Statement: [Yucatecan branch, hasMember, Mopan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mopan language
Context triple: [Yucatecan branch, hasMember, Mopan language]
  • A. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • B. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • C. 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.
  • D. Maricopa language
    Maricopa language is a Native American Yuman language traditionally spoken by the Maricopa people of the lower Colorado River region in the southwestern United States.
  • E. Sipakapense language
    The Sipakapense language is a Mayan language spoken by the Sipakapense people in the western highlands of Guatemala.
  • 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: Mopan language
Triple: [Yucatecan branch, hasMember, Mopan language]
Generated description
The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mopan language
Target entity description: The Mopan language is a Mayan language spoken primarily by the Mopan Maya people in Belize and Guatemala.
  • A. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • B. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • C. 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.
  • D. Maricopa language
    Maricopa language is a Native American Yuman language traditionally spoken by the Maricopa people of the lower Colorado River region in the southwestern United States.
  • E. Sipakapense language
    The Sipakapense language is a Mayan language spoken by the Sipakapense people in the western highlands of Guatemala.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb90ffd48190996a64d79f516e2c completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:52 p.m.