Triple

T21053834
Position Surface form Disambiguated ID Type / Status
Subject Zigula language E518656 entity
Predicate alternateName P39 FINISHED
Object Kizigua
Kizigua is a Bantu language variety spoken primarily by the Zigula people of Tanzania and parts of Somalia.
 E1464751 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: Kizigua | Statement: [Zigula language, alternateName, Kizigua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kizigua
Context triple: [Zigula language, alternateName, Kizigua]
  • A. Chogoria
    Chogoria is a town in Kenya that serves as a popular gateway and access point for climbers and trekkers heading to Mount Kenya, particularly via the Chogoria route to Point Lenana.
  • B. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • C. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • D. Zigra
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • E. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • 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: Kizigua
Triple: [Zigula language, alternateName, Kizigua]
Generated description
Kizigua is a Bantu language variety spoken primarily by the Zigula people of Tanzania and parts of Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kizigua
Target entity description: Kizigua is a Bantu language variety spoken primarily by the Zigula people of Tanzania and parts of Somalia.
  • A. Chogoria
    Chogoria is a town in Kenya that serves as a popular gateway and access point for climbers and trekkers heading to Mount Kenya, particularly via the Chogoria route to Point Lenana.
  • B. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • C. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • D. Zigra
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • E. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0950666f7c8190887911302eb02940 completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a095247e93881908d3bd15a97169937 completed May 17, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0952af83108190ad14c26968109489 completed May 17, 2026, 5:31 a.m.
Created at: April 16, 2026, 2:36 p.m.