Triple

T14998577
Position Surface form Disambiguated ID Type / Status
Subject Same District E374022 entity
Predicate hasSettlement P1068 FINISHED
Object Ndungu
Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
 E1134215 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: Ndungu | Statement: [Same District, hasSettlement, Ndungu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ndungu
Context triple: [Same District, hasSettlement, Ndungu]
  • A. Ndugu
    Ndugu is a surname of likely African origin borne by various individuals, including those with the given name Bailey.
  • B. Nabulungi
    Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
  • C. Manyanga
    Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
  • D. Ndungane
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • E. Luyengo
    Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
  • 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: Ndungu
Triple: [Same District, hasSettlement, Ndungu]
Generated description
Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ndungu
Target entity description: Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
  • A. Ndugu
    Ndugu is a surname of likely African origin borne by various individuals, including those with the given name Bailey.
  • B. Nabulungi
    Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
  • C. Manyanga
    Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
  • D. Ndungane
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • E. Luyengo
    Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dcbd7c88190ad1a302cd0c6ef28 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9e8eb3608190b26692e5ce2b0643 completed May 9, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69fe9f1e9010819092a9d39b85b30f2b completed May 9, 2026, 2:42 a.m.
Created at: April 10, 2026, 2:54 a.m.