Triple

T1872700
Position Surface form Disambiguated ID Type / Status
Subject Carib languages E39066 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Yukpa language
The Yukpa language is an indigenous Cariban language spoken by the Yukpa people in the border regions of northeastern Colombia and western Venezuela.
 E215479 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: Yukpa language | Statement: [Carib languages, hasNotableLanguage, Yukpa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yukpa language
Context triple: [Carib languages, hasNotableLanguage, Yukpa language]
  • A. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • B. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • C. Wayana language
    The Wayana language is an indigenous Cariban language spoken by the Wayana people of the Guiana region in northeastern South America.
  • D. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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: Yukpa language
Triple: [Carib languages, hasNotableLanguage, Yukpa language]
Generated description
The Yukpa language is an indigenous Cariban language spoken by the Yukpa people in the border regions of northeastern Colombia and western Venezuela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yukpa language
Target entity description: The Yukpa language is an indigenous Cariban language spoken by the Yukpa people in the border regions of northeastern Colombia and western Venezuela.
  • A. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • B. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • C. Wayana language
    The Wayana language is an indigenous Cariban language spoken by the Wayana people of the Guiana region in northeastern South America.
  • D. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d4dc6c81908ecd55abd779ae3a completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ca2bd48190b055dd2e657c4dd9 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:34 p.m.