Triple

T10922593
Position Surface form Disambiguated ID Type / Status
Subject Mijikenda E257983 entity
Predicate hasPart P35 FINISHED
Object Kauma
Kauma is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, with its own distinct language and cultural traditions.
 E893981 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: Kauma | Statement: [Mijikenda, hasPart, Kauma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kauma
Context triple: [Mijikenda, hasPart, Kauma]
  • A. Kamen
    Kamen is a town in North Rhine-Westphalia, Germany, known as a local industrial and transport hub in the Ruhr region.
  • B. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Knema
    Knema is a genus of tropical evergreen trees in the nutmeg family (Myristicaceae), native mainly to Southeast Asia and valued for their aromatic seeds and timber.
  • E. Kuje
    Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
  • 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: Kauma
Triple: [Mijikenda, hasPart, Kauma]
Generated description
Kauma is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, with its own distinct language and cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kauma
Target entity description: Kauma is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, with its own distinct language and cultural traditions.
  • A. Kamen
    Kamen is a town in North Rhine-Westphalia, Germany, known as a local industrial and transport hub in the Ruhr region.
  • B. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Knema
    Knema is a genus of tropical evergreen trees in the nutmeg family (Myristicaceae), native mainly to Southeast Asia and valued for their aromatic seeds and timber.
  • E. Kuje
    Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708d1fb88190bb33b72d4330ce11 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2172894d88190b7b27f78e9fd1521 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.