Triple

T6853425
Position Surface form Disambiguated ID Type / Status
Subject Nkayi E158077 entity
Predicate hasMainTown P14082 FINISHED
Object Nkayi
Nkayi is a town in western Zimbabwe that serves as an administrative and commercial center for the surrounding rural district.
 E158077 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: Nkayi | Statement: [Nkayi, hasMainTown, Nkayi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nkayi
Context triple: [Nkayi, hasMainTown, Nkayi]
  • A. Nkayi
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • B. Nkob
    Nkob is a small village in southeastern Morocco known for its traditional mud-brick kasbahs and as a gateway to the Jbel Saghro mountains.
  • C. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • D. Kyalami
    Kyalami is a well-known suburb in the Midrand area of Johannesburg, South Africa, famous for its motor racing circuit and upmarket residential estates.
  • E. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • 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: Nkayi
Triple: [Nkayi, hasMainTown, Nkayi]
Generated description
Nkayi is a town in western Zimbabwe that serves as an administrative and commercial center for the surrounding rural district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nkayi
Target entity description: Nkayi is a town in western Zimbabwe that serves as an administrative and commercial center for the surrounding rural district.
  • A. Nkayi chosen
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • B. Nkob
    Nkob is a small village in southeastern Morocco known for its traditional mud-brick kasbahs and as a gateway to the Jbel Saghro mountains.
  • C. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • D. Kyalami
    Kyalami is a well-known suburb in the Midrand area of Johannesburg, South Africa, famous for its motor racing circuit and upmarket residential estates.
  • E. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • F. None of above.

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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d851321481908c49c2c949359703 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7427dda908190953cf8b535249980 completed March 28, 2026, 2:52 a.m.
NEDg Description generation batch_69c7435af2b481908e06b3ec72dae7da completed March 28, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_69c7443919ec819089040e50462864d1 completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:20 p.m.