Triple

T17154104
Position Surface form Disambiguated ID Type / Status
Subject Saho language E416297 entity
Predicate hasDialect P4251 FINISHED
Object Irob dialect
The Irob dialect is a regional variety of the Saho language spoken primarily by the Irob people in northeastern Ethiopia.
E1252870 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: Irob dialect | Statement: [Saho language, hasDialect, Irob dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irob dialect
Context triple: [Saho language, hasDialect, Irob dialect]
  • A. Asabu dialect
    The Asabu dialect is a regional variety of the Baoulé language spoken by Baoulé communities in Côte d'Ivoire.
  • B. Ekpetiama dialect
    The Ekpetiama dialect is a regional variety of the Izon language spoken by the Ekpetiama people in Nigeria’s Niger Delta.
  • C. Lolobi dialect
    The Lolobi dialect is a regional variety of the Siwu language spoken by the Lolobi people in the Volta Region of Ghana.
  • D. Enuani dialect
    The Enuani dialect is a variety of the Igbo language spoken primarily by the Anioma people of Delta State and surrounding areas in southern Nigeria.
  • E. Mrass dialect
    The Mrass dialect is a regional variety of the Shor language traditionally spoken by Shor communities along the Mrass River in southwestern Siberia.
  • 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: Irob dialect
Triple: [Saho language, hasDialect, Irob dialect]
Generated description
The Irob dialect is a regional variety of the Saho language spoken primarily by the Irob people in northeastern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irob dialect
Target entity description: The Irob dialect is a regional variety of the Saho language spoken primarily by the Irob people in northeastern Ethiopia.
  • A. Asabu dialect
    The Asabu dialect is a regional variety of the Baoulé language spoken by Baoulé communities in Côte d'Ivoire.
  • B. Ekpetiama dialect
    The Ekpetiama dialect is a regional variety of the Izon language spoken by the Ekpetiama people in Nigeria’s Niger Delta.
  • C. Lolobi dialect
    The Lolobi dialect is a regional variety of the Siwu language spoken by the Lolobi people in the Volta Region of Ghana.
  • D. Enuani dialect
    The Enuani dialect is a variety of the Igbo language spoken primarily by the Anioma people of Delta State and surrounding areas in southern Nigeria.
  • E. Mrass dialect
    The Mrass dialect is a regional variety of the Shor language traditionally spoken by Shor communities along the Mrass River in southwestern Siberia.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4092c40819096359ff90af16c3e completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415f3cd481908e96ca294cf3b247 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:37 a.m.