Triple

T2254171
Position Surface form Disambiguated ID Type / Status
Subject Nuer language E49681 entity
Predicate hasDialects P4251 FINISHED
Object Gawar Nuer
Gawar Nuer is a dialect of the Nuer language spoken by the Gawar subgroup of the Nuer people in South Sudan.
 E257723 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: Gawar Nuer | Statement: [Nuer language, hasDialects, Gawar Nuer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gawar Nuer
Context triple: [Nuer language, hasDialects, Gawar Nuer]
  • A. 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.
  • B. 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.
  • C. Nyuong Nuer
    Nyuong Nuer is a regional dialect of the Nuer language spoken by the Nyuong subgroup of the Nuer people in South Sudan and neighboring areas.
  • D. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • E. Shilluk
    The Shilluk are a Nilotic ethnic group of South Sudan known for their historical kingdom along the White Nile and rich oral traditions.
  • 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: Gawar Nuer
Triple: [Nuer language, hasDialects, Gawar Nuer]
Generated description
Gawar Nuer is a dialect of the Nuer language spoken by the Gawar subgroup of the Nuer people in South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gawar Nuer
Target entity description: Gawar Nuer is a dialect of the Nuer language spoken by the Gawar subgroup of the Nuer people in South Sudan.
  • A. 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.
  • B. 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.
  • C. Nyuong Nuer
    Nyuong Nuer is a regional dialect of the Nuer language spoken by the Nyuong subgroup of the Nuer people in South Sudan and neighboring areas.
  • D. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • E. Shilluk
    The Shilluk are a Nilotic ethnic group of South Sudan known for their historical kingdom along the White Nile and rich oral traditions.
  • 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_69ae96021324819088eafcaf06f97455 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae96d95c648190bca59f97c01e59fc completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae974d062c819091459361f519ee3e completed March 9, 2026, 9:47 a.m.
Created at: March 4, 2026, 7:47 p.m.