Triple

T15871565
Position Surface form Disambiguated ID Type / Status
Subject Bapedi E384840 entity
Predicate traditionalLeaderTitle P11127 FINISHED
Object Kgoshi
Kgoshi is a traditional royal title used for a king or paramount chief among the Bapedi people of South Africa.
 E1199107 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: Kgoshi | Statement: [Bapedi, traditionalLeaderTitle, Kgoshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kgoshi
Context triple: [Bapedi, traditionalLeaderTitle, Kgoshi]
  • A. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • B. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • C. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • D. Kensiu
    Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
  • E. Koshun
    Koshun is a music producer known for working on projects associated with the artist Amala.
  • 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: Kgoshi
Triple: [Bapedi, traditionalLeaderTitle, Kgoshi]
Generated description
Kgoshi is a traditional royal title used for a king or paramount chief among the Bapedi people of South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kgoshi
Target entity description: Kgoshi is a traditional royal title used for a king or paramount chief among the Bapedi people of South Africa.
  • A. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • B. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • C. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • D. Kensiu
    Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
  • E. Koshun
    Koshun is a music producer known for working on projects associated with the artist Amala.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fa1aac81908e4b86abedf295ca completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee4f84c81908b2c7e216ef159e0 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a0002419cec81909e3cec70968b65a4 completed May 10, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0002ad960c81909c308a12da9b65d6 completed May 10, 2026, 3:59 a.m.
Created at: April 10, 2026, 4:50 a.m.