Triple

T11300178
Position Surface form Disambiguated ID Type / Status
Subject Kerewe language E267561 entity
Predicate hasAlternativeName P39 FINISHED
Object Kikerewe
Kikerewe is a Bantu language spoken primarily by the Kerewe people of Ukerewe Island in Lake Victoria, Tanzania.
 E917899 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: Kikerewe | Statement: [Kerewe language, hasAlternativeName, Kikerewe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kikerewe
Context triple: [Kerewe language, hasAlternativeName, Kikerewe]
  • A. Kikisoblu
    Kikisoblu, better known as Princess Angeline, was the eldest daughter of Chief Seattle and a notable Duwamish woman who became a symbolic figure in early Seattle history.
  • B. Bekwarra
    Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
  • C. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • D. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • E. Kiche
    Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
  • 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: Kikerewe
Triple: [Kerewe language, hasAlternativeName, Kikerewe]
Generated description
Kikerewe is a Bantu language spoken primarily by the Kerewe people of Ukerewe Island in Lake Victoria, Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kikerewe
Target entity description: Kikerewe is a Bantu language spoken primarily by the Kerewe people of Ukerewe Island in Lake Victoria, Tanzania.
  • A. Kikisoblu
    Kikisoblu, better known as Princess Angeline, was the eldest daughter of Chief Seattle and a notable Duwamish woman who became a symbolic figure in early Seattle history.
  • B. Bekwarra
    Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
  • C. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • D. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • E. Kiche
    Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a4af56881908cc395b6687d40a9 completed April 19, 2026, 5 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516ac8dec81909c9c1eece372189e completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:32 p.m.