Triple

T11093654
Position Surface form Disambiguated ID Type / Status
Subject Madi language E262317 entity
Predicate hasDialect P4251 FINISHED
Object Madi of Uganda
Madi of Uganda is a regional variety of the Madi language spoken by Madi communities in northern Uganda.
E904341 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: Madi of Uganda | Statement: [Madi language, hasDialect, Madi of Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madi of Uganda
Context triple: [Madi language, hasDialect, Madi of Uganda]
  • A. Oginga
    Oginga is the given name of Jaramogi Oginga Odinga, a prominent Kenyan independence leader and the country’s first vice president.
  • B. Rutooro
    Rutooro is a Bantu language spoken primarily by the Tooro people in western Uganda.
  • C. Masisi
    Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
  • D. Chembong
    Chembong is a state constituency in the Rembau District of Negeri Sembilan, Malaysia, represented in the Negeri Sembilan State Legislative Assembly.
  • E. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • 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: Madi of Uganda
Triple: [Madi language, hasDialect, Madi of Uganda]
Generated description
Madi of Uganda is a regional variety of the Madi language spoken by Madi communities in northern Uganda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Madi of Uganda
Target entity description: Madi of Uganda is a regional variety of the Madi language spoken by Madi communities in northern Uganda.
  • A. Oginga
    Oginga is the given name of Jaramogi Oginga Odinga, a prominent Kenyan independence leader and the country’s first vice president.
  • B. Rutooro
    Rutooro is a Bantu language spoken primarily by the Tooro people in western Uganda.
  • C. Masisi
    Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
  • D. Chembong
    Chembong is a state constituency in the Rembau District of Negeri Sembilan, Malaysia, represented in the Negeri Sembilan State Legislative Assembly.
  • E. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7d3043c8190bdbe0ec51992db0c completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.