Triple

T11397688
Position Surface form Disambiguated ID Type / Status
Subject Daka language E270020 entity
Predicate hasAlternativeName P39 FINISHED
Object Nyimang
Nyimang is a Nilo-Saharan language spoken by the Nyimang people in the Nuba Mountains of Sudan.
 E928262 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: Nyimang | Statement: [Daka language, hasAlternativeName, Nyimang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nyimang
Context triple: [Daka language, hasAlternativeName, Nyimang]
  • A. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • B. Moringua
    Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Nyikang
    Nyikang is the legendary ancestral king and culture hero revered by the Shilluk people of South Sudan as the originator of their royal lineage and social order.
  • E. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • 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: Nyimang
Triple: [Daka language, hasAlternativeName, Nyimang]
Generated description
Nyimang is a Nilo-Saharan language spoken by the Nyimang people in the Nuba Mountains of Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nyimang
Target entity description: Nyimang is a Nilo-Saharan language spoken by the Nyimang people in the Nuba Mountains of Sudan.
  • A. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • B. Moringua
    Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Nyikang
    Nyikang is the legendary ancestral king and culture hero revered by the Shilluk people of South Sudan as the originator of their royal lineage and social order.
  • E. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603d2320c81909ed6946c7b7dfb36 completed April 20, 2026, 10:45 a.m.
NEDg Description generation batch_69e610a07bf881908de79850edb9576f completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e617fdaaa88190a1860fb00309596b completed April 20, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:34 p.m.