Triple

T14259523
Position Surface form Disambiguated ID Type / Status
Subject Wounaan language E353474 entity
Predicate hasAlternativeName P39 FINISHED
Object Noanamá
Noanamá is an alternative name for the Wounaan language, an indigenous language spoken by the Wounaan people of Colombia and Panama.
E1089798 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: Noanamá | Statement: [Wounaan language, hasAlternativeName, Noanamá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noanamá
Context triple: [Wounaan language, hasAlternativeName, Noanamá]
  • A. Coñaripe
    Coñaripe is a small lakeside town in southern Chile known for its scenic setting near volcanoes, hot springs, and outdoor recreation areas.
  • B. Aguajun
    Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
  • C. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • D. Ananindeua
    Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • 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: Noanamá
Triple: [Wounaan language, hasAlternativeName, Noanamá]
Generated description
Noanamá is an alternative name for the Wounaan language, an indigenous language spoken by the Wounaan people of Colombia and Panama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noanamá
Target entity description: Noanamá is an alternative name for the Wounaan language, an indigenous language spoken by the Wounaan people of Colombia and Panama.
  • A. Coñaripe
    Coñaripe is a small lakeside town in southern Chile known for its scenic setting near volcanoes, hot springs, and outdoor recreation areas.
  • B. Aguajun
    Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
  • C. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • D. Ananindeua
    Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • 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.