Triple

T7759065
Position Surface form Disambiguated ID Type / Status
Subject Dinka E175971 entity
Predicate hasDialects P4251 FINISHED
Object Rek Dinka
Rek Dinka is a major dialect of the Dinka language spoken primarily by the Rek subgroup in South Sudan.
 E687001 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: Rek Dinka | Statement: [Dinka, hasDialects, Rek Dinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rek Dinka
Context triple: [Dinka, hasDialects, Rek Dinka]
  • A. Bor Dinka
    Bor Dinka are a prominent subgroup of the Dinka people of South Sudan, known for their Nilotic pastoralist culture, cattle herding traditions, and significant role in the country’s political and social history.
  • B. Twic Dinka
    Twic Dinka are a distinct subgroup of the Dinka ethnic community of South Sudan, known for their pastoralist lifestyle, clan-based social structure, and rich cultural traditions.
  • C. 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.
  • D. 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.
  • E. Dinka
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • 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: Rek Dinka
Triple: [Dinka, hasDialects, Rek Dinka]
Generated description
Rek Dinka is a major dialect of the Dinka language spoken primarily by the Rek subgroup in South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rek Dinka
Target entity description: Rek Dinka is a major dialect of the Dinka language spoken primarily by the Rek subgroup in South Sudan.
  • A. Bor Dinka
    Bor Dinka are a prominent subgroup of the Dinka people of South Sudan, known for their Nilotic pastoralist culture, cattle herding traditions, and significant role in the country’s political and social history.
  • B. Twic Dinka
    Twic Dinka are a distinct subgroup of the Dinka ethnic community of South Sudan, known for their pastoralist lifestyle, clan-based social structure, and rich cultural traditions.
  • C. 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.
  • D. 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.
  • E. Dinka
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cf538c8190aa86c27fff42efb0 completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c8a18860819081a88f80544db83d completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c900a28c819097449e8ceb373718 completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:09 p.m.