Triple

T13876591
Position Surface form Disambiguated ID Type / Status
Subject Karamoja region E333598 entity
Predicate hasCapital P204 FINISHED
Object Moroto
Moroto is a town in northeastern Uganda that serves as the main administrative and commercial center of the Karamoja region.
 E1065547 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: Moroto | Statement: [Karamoja region, hasCapital, Moroto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moroto
Context triple: [Karamoja region, hasCapital, Moroto]
  • A. Kirkop
    Kirkop is a small traditional village in the Southern Region of Malta known for its tight-knit community and historic parish church.
  • B. Nimule
    Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • C. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • D. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • E. Tontemboan
    Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
  • 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: Moroto
Triple: [Karamoja region, hasCapital, Moroto]
Generated description
Moroto is a town in northeastern Uganda that serves as the main administrative and commercial center of the Karamoja region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moroto
Target entity description: Moroto is a town in northeastern Uganda that serves as the main administrative and commercial center of the Karamoja region.
  • A. Kirkop
    Kirkop is a small traditional village in the Southern Region of Malta known for its tight-knit community and historic parish church.
  • B. Nimule
    Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • C. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • D. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • E. Tontemboan
    Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c10bb92c8190bd5ab9a5e1d7fabe completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c1e92ab88190a4783de7a9c5f1f2 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c258726c81908c4e8d437e09e99f completed May 3, 2026, 9:47 p.m.
Created at: April 9, 2026, 10:15 p.m.