Triple

T14208978
Position Surface form Disambiguated ID Type / Status
Subject Gombe State E352175 entity
Predicate localGovernmentArea P3379 FINISHED
Object Kwami
Kwami is a local government area in Gombe State, northeastern Nigeria, known for its predominantly rural communities and agrarian economy.
E1085788 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: Kwami | Statement: [Gombe State, localGovernmentArea, Kwami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwami
Context triple: [Gombe State, localGovernmentArea, Kwami]
  • A. Kwanim Pa
    Kwanim Pa is an alternative name for the Uduk language, a Nilo-Saharan language spoken by the Uduk people of eastern Sudan and western Ethiopia.
  • B. Kola Kwariani
    Kola Kwariani was a Georgian-born professional wrestler and occasional actor best known for his memorable role as a chess-playing strongman in Stanley Kubrick’s film "The Killing."
  • C. Kwame Poku
    Kwame Poku is a professional footballer known for playing as an attacking midfielder or winger in the English football league system.
  • D. Kwame Yamgnane
    Kwame Yamgnane is a French entrepreneur and educator best known as the co-founder of the coding school 42.
  • E. Fombio
    Fombio is a small municipality in the Lombardy region of northern Italy, known for its rural character and location near the Po River.
  • 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: Kwami
Triple: [Gombe State, localGovernmentArea, Kwami]
Generated description
Kwami is a local government area in Gombe State, northeastern Nigeria, known for its predominantly rural communities and agrarian economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kwami
Target entity description: Kwami is a local government area in Gombe State, northeastern Nigeria, known for its predominantly rural communities and agrarian economy.
  • A. Kwanim Pa
    Kwanim Pa is an alternative name for the Uduk language, a Nilo-Saharan language spoken by the Uduk people of eastern Sudan and western Ethiopia.
  • B. Kola Kwariani
    Kola Kwariani was a Georgian-born professional wrestler and occasional actor best known for his memorable role as a chess-playing strongman in Stanley Kubrick’s film "The Killing."
  • C. Kwame Poku
    Kwame Poku is a professional footballer known for playing as an attacking midfielder or winger in the English football league system.
  • D. Kwame Yamgnane
    Kwame Yamgnane is a French entrepreneur and educator best known as the co-founder of the coding school 42.
  • E. Fombio
    Fombio is a small municipality in the Lombardy region of northern Italy, known for its rural character and location near the Po River.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19557f908190abb3dc116676f215 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b198c6c81909b71a51a39711754 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1bb585448190bc3393304980b808 completed May 7, 2026, 11:09 p.m.
Created at: April 10, 2026, 1:05 a.m.