Triple

T16428029
Position Surface form Disambiguated ID Type / Status
Subject Kicukiro District E398994 entity
Predicate hasSector P71 FINISHED
Object Gatenga
Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
 E1219510 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: Gatenga | Statement: [Kicukiro District, hasSector, Gatenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gatenga
Context triple: [Kicukiro District, hasSector, Gatenga]
  • A. Ngumbi
    Ngumbi is a Bantu language spoken along the central coast of Cameroon, closely related to and sometimes considered a variety of Kombe.
  • B. Kagiso
    Kagiso is a township in South Africa’s Gauteng province, situated west of Johannesburg and known for its dense residential communities and vibrant local culture.
  • C. Gavinana
    Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
  • D. Gwembe
    Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
  • E. Bulange
    Bulange is the historic administrative building of the Buganda Kingdom in Kampala, Uganda, serving as the seat of the Lukiiko (parliament) and the Kabaka’s offices.
  • 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: Gatenga
Triple: [Kicukiro District, hasSector, Gatenga]
Generated description
Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gatenga
Target entity description: Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
  • A. Ngumbi
    Ngumbi is a Bantu language spoken along the central coast of Cameroon, closely related to and sometimes considered a variety of Kombe.
  • B. Kagiso
    Kagiso is a township in South Africa’s Gauteng province, situated west of Johannesburg and known for its dense residential communities and vibrant local culture.
  • C. Gavinana
    Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
  • D. Gwembe
    Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
  • E. Bulange
    Bulange is the historic administrative building of the Buganda Kingdom in Kampala, Uganda, serving as the seat of the Lukiiko (parliament) and the Kabaka’s offices.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679d15b08190b4e70e4337bff88d completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a0068a384e0819093c174a46ea5ce10 completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0068fa85448190aef06ff27fe16305 completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:09 a.m.