Triple

T2254166
Position Surface form Disambiguated ID Type / Status
Subject Nuer language E49681 entity
Predicate hasDialects P4251 FINISHED
Object Bul Nuer
Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
 E252482 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: Bul Nuer | Statement: [Nuer language, hasDialects, Bul Nuer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bul Nuer
Context triple: [Nuer language, hasDialects, Bul Nuer]
  • A. Jikany Nuer
    Jikany Nuer is a dialect of the Nuer language spoken by the Jikany subgroup of the Nuer people in South Sudan and neighboring regions.
  • B. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • C. Ngoni
    Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
  • D. Dok Nuer
    Dok Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
  • E. Jagei Nuer
    Jagei Nuer is a regional dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring areas.
  • 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: Bul Nuer
Triple: [Nuer language, hasDialects, Bul Nuer]
Generated description
Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bul Nuer
Target entity description: Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
  • A. Jikany Nuer
    Jikany Nuer is a dialect of the Nuer language spoken by the Jikany subgroup of the Nuer people in South Sudan and neighboring regions.
  • B. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • C. Ngoni
    Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
  • D. Dok Nuer
    Dok Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
  • E. Jagei Nuer
    Jagei Nuer is a regional dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring areas.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f067f208190a399e2b1a83badd1 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7faa64e48190b82e48165a931598 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae801a87a88190ae461ca164b358a4 completed March 9, 2026, 8:08 a.m.
Created at: March 4, 2026, 7:47 p.m.