Triple

T14170082
Position Surface form Disambiguated ID Type / Status
Subject Meru people E351181 entity
Predicate subgroup P10 FINISHED
Object Muthambi
Muthambi are a distinct sub-group of the Meru people of Kenya, known for their shared Kimeru language, highland agricultural lifestyle, and rich cultural traditions.
 E1086410 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: Muthambi | Statement: [Meru people, subgroup, Muthambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muthambi
Context triple: [Meru people, subgroup, Muthambi]
  • A. Khumalo
    Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
  • B. Mpulungu
    Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
  • C. Mokoena
    Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
  • D. Molefe
    Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
  • E. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • 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: Muthambi
Triple: [Meru people, subgroup, Muthambi]
Generated description
Muthambi are a distinct sub-group of the Meru people of Kenya, known for their shared Kimeru language, highland agricultural lifestyle, and rich cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muthambi
Target entity description: Muthambi are a distinct sub-group of the Meru people of Kenya, known for their shared Kimeru language, highland agricultural lifestyle, and rich cultural traditions.
  • A. Khumalo
    Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
  • B. Mpulungu
    Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
  • C. Mokoena
    Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
  • D. Molefe
    Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
  • E. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1d57dfa88190a4cd9b6fceddbc3b completed May 7, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69fd1e267dcc819087a24cbfea2736db completed May 7, 2026, 11:20 p.m.
Created at: April 10, 2026, 1:01 a.m.