Triple

T16080375
Position Surface form Disambiguated ID Type / Status
Subject Mudug E390092 entity
Predicate hasSubregion P285 FINISHED
Object South Mudug
South Mudug is a southern administrative subregion of the Mudug region in central Somalia.
 E1195728 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: South Mudug | Statement: [Mudug, hasSubregion, South Mudug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: South Mudug
Context triple: [Mudug, hasSubregion, South Mudug]
  • A. Mudug
    Mudug is a central Somali region known for its arid landscape, pastoralist communities, and strategic position linking northern and southern Somalia.
  • B. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • C. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • D. Kiryandongo
    Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
  • E. Nwoya
    Nwoya is a town in northern Uganda that serves as the administrative and commercial center of Nwoya District.
  • 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: South Mudug
Triple: [Mudug, hasSubregion, South Mudug]
Generated description
South Mudug is a southern administrative subregion of the Mudug region in central Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: South Mudug
Target entity description: South Mudug is a southern administrative subregion of the Mudug region in central Somalia.
  • A. Mudug
    Mudug is a central Somali region known for its arid landscape, pastoralist communities, and strategic position linking northern and southern Somalia.
  • B. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • C. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • D. Kiryandongo
    Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
  • E. Nwoya
    Nwoya is a town in northern Uganda that serves as the administrative and commercial center of Nwoya District.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844a5c68819086a13c93a787b436 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29bc7408190be09bec1619b599c completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff39371648190b3f694df00ff4f3e completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff47a52cc8190b0ad7c37ea444159 completed May 10, 2026, 2:59 a.m.
Created at: April 10, 2026, 4:57 a.m.