Triple

T14259569
Position Surface form Disambiguated ID Type / Status
Subject Chocoan E353475 entity
Predicate hasLanguage P15 FINISHED
Object Baudó Emberá
Baudó Emberá is an indigenous people of Colombia whose language belongs to the Chocoan family and is spoken primarily along the Baudó River region.
 E1089800 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: Baudó Emberá | Statement: [Chocoan, hasLanguage, Baudó Emberá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baudó Emberá
Context triple: [Chocoan, hasLanguage, Baudó Emberá]
  • A. Sebastián Ramírez
    Sebastián Ramírez is a software developer best known for creating the modern, high-performance Python web framework FastAPI.
  • B. Lleras
    Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
  • C. Camilo
    Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
  • D. Flórez
    Flórez is a Spanish-language surname most prominently associated with Peruvian operatic tenor Juan Diego Flórez.
  • E. Mejía
    Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
  • 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: Baudó Emberá
Triple: [Chocoan, hasLanguage, Baudó Emberá]
Generated description
Baudó Emberá is an indigenous people of Colombia whose language belongs to the Chocoan family and is spoken primarily along the Baudó River region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baudó Emberá
Target entity description: Baudó Emberá is an indigenous people of Colombia whose language belongs to the Chocoan family and is spoken primarily along the Baudó River region.
  • A. Sebastián Ramírez
    Sebastián Ramírez is a software developer best known for creating the modern, high-performance Python web framework FastAPI.
  • B. Lleras
    Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
  • C. Camilo
    Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
  • D. Flórez
    Flórez is a Spanish-language surname most prominently associated with Peruvian operatic tenor Juan Diego Flórez.
  • E. Mejía
    Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de635534988190816fdfb315cd2a3f completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3260fdf88190b482480a17bd6674 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:09 a.m.