Triple

T13098492
Position Surface form Disambiguated ID Type / Status
Subject Obanliku E310653 entity
Predicate hasAdministrativeHeadquarters P1474 FINISHED
Object Sankwala
Sankwala is a town in Cross River State, Nigeria, serving as the administrative center of Obanliku Local Government Area.
E1037042 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: Sankwala | Statement: [Obanliku, hasAdministrativeHeadquarters, Sankwala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sankwala
Context triple: [Obanliku, hasAdministrativeHeadquarters, Sankwala]
  • A. Namwala
    Namwala is a rural town in southern Zambia known as a center of Ila cattle-herding culture along the Kafue River floodplain.
  • B. 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.
  • C. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • D. Omaruru
    Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
  • E. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • 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: Sankwala
Triple: [Obanliku, hasAdministrativeHeadquarters, Sankwala]
Generated description
Sankwala is a town in Cross River State, Nigeria, serving as the administrative center of Obanliku Local Government Area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sankwala
Target entity description: Sankwala is a town in Cross River State, Nigeria, serving as the administrative center of Obanliku Local Government Area.
  • A. Namwala
    Namwala is a rural town in southern Zambia known as a center of Ila cattle-herding culture along the Kafue River floodplain.
  • B. 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.
  • C. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • D. Omaruru
    Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
  • E. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265eba0481908417d2bb905874e5 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f72a52e9dc8190a76c4c51d0e1cd07 completed May 3, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69f72ab0cb0081908090c6ebab183788 completed May 3, 2026, 11 a.m.
Created at: April 9, 2026, 9:04 p.m.