Triple

T8686799
Position Surface form Disambiguated ID Type / Status
Subject Borana-Arsi-Guji E206179 entity
Predicate hasDialect P4251 FINISHED
Object Arsi dialect
The Arsi dialect is a regional variety of the Oromo language spoken primarily by the Arsi people in central and southeastern Ethiopia.
 E750604 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: Arsi dialect | Statement: [Borana-Arsi-Guji, hasDialect, Arsi dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arsi dialect
Context triple: [Borana-Arsi-Guji, hasDialect, Arsi dialect]
  • A. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • B. Ersari dialect
    The Ersari dialect is a regional variety of the Turkmen language traditionally spoken by the Ersari Turkmen people, primarily in parts of Turkmenistan and neighboring regions.
  • C. Asabu dialect
    The Asabu dialect is a regional variety of the Baoulé language spoken by Baoulé communities in Côte d'Ivoire.
  • D. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • E. Salyr dialect
    The Salyr dialect is a regional variety of the Turkmen language traditionally associated with the Salyr Turkmen tribe.
  • 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: Arsi dialect
Triple: [Borana-Arsi-Guji, hasDialect, Arsi dialect]
Generated description
The Arsi dialect is a regional variety of the Oromo language spoken primarily by the Arsi people in central and southeastern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arsi dialect
Target entity description: The Arsi dialect is a regional variety of the Oromo language spoken primarily by the Arsi people in central and southeastern Ethiopia.
  • A. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • B. Ersari dialect
    The Ersari dialect is a regional variety of the Turkmen language traditionally spoken by the Ersari Turkmen people, primarily in parts of Turkmenistan and neighboring regions.
  • C. Asabu dialect
    The Asabu dialect is a regional variety of the Baoulé language spoken by Baoulé communities in Côte d'Ivoire.
  • D. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • E. Salyr dialect
    The Salyr dialect is a regional variety of the Turkmen language traditionally associated with the Salyr Turkmen tribe.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef52200788190a8173da1aaa4f681 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef6c109b08190bb29ce2747f3ccb7 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:33 p.m.