Triple

T3055446
Position Surface form Disambiguated ID Type / Status
Subject Dinka language E60468 entity
Predicate hasDialect P4251 FINISHED
Object Twic Dinka
Twic Dinka is a regional dialect of the Dinka language spoken by the Twic Dinka people of South Sudan.
 E175971 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: Twic Dinka | Statement: [Dinka language, hasDialect, Twic Dinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Twic Dinka
Context triple: [Dinka language, hasDialect, Twic Dinka]
  • 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. Dinka
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • E. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • 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: Twic Dinka
Triple: [Dinka language, hasDialect, Twic Dinka]
Generated description
Twic Dinka is a regional dialect of the Dinka language spoken by the Twic Dinka people of South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Twic Dinka
Target entity description: Twic Dinka is a regional dialect of the Dinka language spoken by the Twic Dinka people of 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. Dinka chosen
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • E. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • F. None of above.

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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf6b9948190bc957bfd1579c471 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8724bd481909ea8c71e92801096 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f908ee3081909126bc3797658fca completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1f99f7aec8190bb35ef4ddf64735c completed March 11, 2026, 11:24 p.m.
Created at: March 8, 2026, 3:02 p.m.