Triple

T542961
Position Surface form Disambiguated ID Type / Status
Subject Kuna language E12670 entity
Predicate alternativeName P39 FINISHED
Object Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
E68751 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: Guna language | Statement: [Kuna language, alternativeName, Guna language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guna language
Context triple: [Kuna language, alternativeName, Guna language]
  • A. Ndyuka language
    The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • B. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • C. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Berom language
    The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
  • 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: Guna language
Triple: [Kuna language, alternativeName, Guna language]
Generated description
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guna language
Target entity description: Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • A. Ndyuka language
    The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • B. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • C. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Berom language
    The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4986250508190ac91cfdf7d57073d completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e02ab7dc819092a210eb0fcd59f4 completed March 2, 2026, 12:56 a.m.
NEDg Description generation batch_69a4e124306c8190bce165e684507553 completed March 2, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a4e1e73b0c8190b4f050f76f8e58de completed March 2, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:32 p.m.