Triple

T1890256
Position Surface form Disambiguated ID Type / Status
Subject Tigrinya E41857 entity
Predicate hasNativeName P1435 FINISHED
Object ትግርኛ
ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
 E210211 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: ትግርኛ | Statement: [Tigrinya, hasNativeName, ትግርኛ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ትግርኛ
Context triple: [Tigrinya, hasNativeName, ትግርኛ]
  • A. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • B. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • C. Ge'ez
    Ge'ez is an ancient Semitic language of Ethiopia and Eritrea, best known today as the classical and liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • D. Gurage languages
    The Gurage languages are a group of closely related South Ethiosemitic languages spoken primarily by the Gurage people in central and southwestern Ethiopia.
  • E. Badaga language
    Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • 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: ትግርኛ
Triple: [Tigrinya, hasNativeName, ትግርኛ]
Generated description
ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ትግርኛ
Target entity description: ትግርኛ is a Semitic language primarily spoken in Eritrea and northern Ethiopia by the Tigrinya people.
  • A. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • B. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • C. Ge'ez
    Ge'ez is an ancient Semitic language of Ethiopia and Eritrea, best known today as the classical and liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • D. Gurage languages
    The Gurage languages are a group of closely related South Ethiosemitic languages spoken primarily by the Gurage people in central and southwestern Ethiopia.
  • E. Badaga language
    Badaga language is a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb14475448190b291ada3454bf98b completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf665bd48190b08ff5159333b99b completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade02321b881909e8bb087f6c3acd4 completed March 8, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69ade0d3f77481909cb4c9a57a9fb6a7 completed March 8, 2026, 8:49 p.m.
Created at: March 4, 2026, 7:34 p.m.