Triple

T12443613
Position Surface form Disambiguated ID Type / Status
Subject Mpondo E297339 entity
Predicate traditionalTitleOfRuler P11127 FINISHED
Object Nkosi
Nkosi is a traditional royal title used for rulers and chiefs among the Mpondo people of South Africa.
 E991366 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: Nkosi | Statement: [Mpondo, traditionalTitleOfRuler, Nkosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nkosi
Context triple: [Mpondo, traditionalTitleOfRuler, Nkosi]
  • A. Ntswempu
    Ntswempu is a song by the artist King Don Come.
  • B. Mzilikazi
    Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
  • C. Nongqawuse
    Nongqawuse was a teenage Xhosa prophet whose visions in 1856–1857 inspired the catastrophic cattle-killing movement that led to widespread famine and social upheaval among the Xhosa people.
  • D. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • E. Mokoena
    Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
  • 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: Nkosi
Triple: [Mpondo, traditionalTitleOfRuler, Nkosi]
Generated description
Nkosi is a traditional royal title used for rulers and chiefs among the Mpondo people of South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nkosi
Target entity description: Nkosi is a traditional royal title used for rulers and chiefs among the Mpondo people of South Africa.
  • A. Ntswempu
    Ntswempu is a song by the artist King Don Come.
  • B. Mzilikazi
    Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
  • C. Nongqawuse
    Nongqawuse was a teenage Xhosa prophet whose visions in 1856–1857 inspired the catastrophic cattle-killing movement that led to widespread famine and social upheaval among the Xhosa people.
  • D. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • E. Mokoena
    Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8fd9848190a83410353d88ea8d completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556839908190ac0401d373ad0fa9 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a6dafc81908acf59c0ba65189a completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f65b4d109c8190b48c71f664e7bb3f completed May 2, 2026, 8:15 p.m.
Created at: April 8, 2026, 9:55 p.m.