Triple

T3762832
Position Surface form Disambiguated ID Type / Status
Subject Omotic languages E82601 entity
Predicate majorLanguage P207 FINISHED
Object Dizi
Dizi is an Omotic language spoken primarily by the Dizi people in southwestern Ethiopia.
 E386665 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: Dizi | Statement: [Omotic languages, majorLanguage, Dizi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dizi
Context triple: [Omotic languages, majorLanguage, Dizi]
  • A. Seri
    The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
  • B. Dassu
    Dassu is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative center of Upper Kohistan District in the mountainous Kohistan region.
  • C. Tiv
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • D. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • E. Baran
    Baran is a city in the Hadoti region of Rajasthan, India, known for its historical temples, forts, and proximity to natural attractions like waterfalls and wildlife sanctuaries.
  • 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: Dizi
Triple: [Omotic languages, majorLanguage, Dizi]
Generated description
Dizi is an Omotic language spoken primarily by the Dizi people in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dizi
Target entity description: Dizi is an Omotic language spoken primarily by the Dizi people in southwestern Ethiopia.
  • A. Seri
    The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
  • B. Dassu
    Dassu is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative center of Upper Kohistan District in the mountainous Kohistan region.
  • C. Tiv
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • D. Multazam
    Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
  • E. Baran
    Baran is a city in the Hadoti region of Rajasthan, India, known for its historical temples, forts, and proximity to natural attractions like waterfalls and wildlife sanctuaries.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfa44ac819082f2c895d96c9170 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51acd0c81909a675e525ece6d1b completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e8d7b6d48190a56c3d1921bb2088 completed March 14, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_69b4e966a5648190a449fbb23c39f905 completed March 14, 2026, 4:51 a.m.
Created at: March 8, 2026, 3:35 p.m.