Triple

T14788304
Position Surface form Disambiguated ID Type / Status
Subject Bajju E347585 entity
Predicate localGovernmentAreas P41452 FINISHED
Object Kachia
Kachia is a local government area in Kaduna State, Nigeria, known for its diverse ethnic communities and agricultural activities.
 E1119834 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: Kachia | Statement: [Bajju, localGovernmentAreas, Kachia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kachia
Context triple: [Bajju, localGovernmentAreas, Kachia]
  • A. Kwamera
    Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
  • B. Camira
    Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
  • C. Camira
    Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
  • D. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • E. Canik
    Canik is a district and municipality in Turkey’s Samsun Province, located on the Black Sea coast and forming part of the greater Samsun urban area.
  • 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: Kachia
Triple: [Bajju, localGovernmentAreas, Kachia]
Generated description
Kachia is a local government area in Kaduna State, Nigeria, known for its diverse ethnic communities and agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kachia
Target entity description: Kachia is a local government area in Kaduna State, Nigeria, known for its diverse ethnic communities and agricultural activities.
  • A. Kwamera
    Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
  • B. Camira
    Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
  • C. Camira
    Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
  • D. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • E. Canik
    Canik is a district and municipality in Turkey’s Samsun Province, located on the Black Sea coast and forming part of the greater Samsun urban area.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe266a05308190b9f6adba3e635e2f completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26f8fb7881909892c381b16fc80a completed May 8, 2026, 6:10 p.m.
Created at: April 10, 2026, 1:31 a.m.