Triple

T5316213
Position Surface form Disambiguated ID Type / Status
Subject Wolaytta E119153 entity
Predicate closelyRelatedTo P37 FINISHED
Object Gamo language
The Gamo language is an Omotic language of southwestern Ethiopia spoken by the Gamo people and closely related to neighboring Wolaytta.
 E511080 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: Gamo language | Statement: [Wolaytta, closelyRelatedTo, Gamo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gamo language
Context triple: [Wolaytta, closelyRelatedTo, Gamo language]
  • A. Ghomara language
    The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • D. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • E. Gumer language
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • 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: Gamo language
Triple: [Wolaytta, closelyRelatedTo, Gamo language]
Generated description
The Gamo language is an Omotic language of southwestern Ethiopia spoken by the Gamo people and closely related to neighboring Wolaytta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gamo language
Target entity description: The Gamo language is an Omotic language of southwestern Ethiopia spoken by the Gamo people and closely related to neighboring Wolaytta.
  • A. Ghomara language
    The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • D. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • E. Gumer language
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf1263876c8190a278f06ad8ac816a completed March 21, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69bf12c123008190a0d3f3c23af59819 completed March 21, 2026, 9:50 p.m.
Created at: March 20, 2026, 1:54 p.m.