Triple

T17646205
Position Surface form Disambiguated ID Type / Status
Subject Ovambo language E429364 entity
Predicate hasDialect P4251 FINISHED
Object Kwambi
Kwambi is a dialect of the Ovambo language spoken by the Kwambi people in northern Namibia and southern Angola.
E1281399 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: Kwambi | Statement: [Ovambo language, hasDialect, Kwambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwambi
Context triple: [Ovambo language, hasDialect, Kwambi]
  • A. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • B. Ochosi
    Ochosi is an orisha in the Yoruba and Afro-Caribbean religious traditions, revered as a divine hunter, tracker, and guardian of justice.
  • C. Kangulumira
    Kangulumira is a small town in central Uganda located within Kayunga District.
  • D. Sanyika
    Sanyika is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
  • E. Kwandi
    Kwandi is a regional dialect of the Silozi language spoken by communities in parts of southern Africa.
  • 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: Kwambi
Triple: [Ovambo language, hasDialect, Kwambi]
Generated description
Kwambi is a dialect of the Ovambo language spoken by the Kwambi people in northern Namibia and southern Angola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kwambi
Target entity description: Kwambi is a dialect of the Ovambo language spoken by the Kwambi people in northern Namibia and southern Angola.
  • A. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • B. Ochosi
    Ochosi is an orisha in the Yoruba and Afro-Caribbean religious traditions, revered as a divine hunter, tracker, and guardian of justice.
  • C. Kangulumira
    Kangulumira is a small town in central Uganda located within Kayunga District.
  • D. Sanyika
    Sanyika is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
  • E. Kwandi
    Kwandi is a regional dialect of the Silozi language spoken by communities in parts of southern Africa.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e39937881909bb6a1792fff39a9 completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021650aed4819089892c32c0236e3e completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021a2ae13c8190a6a7a524b6c8879d completed May 11, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a021ac1dd1c81909a1a13bc0556a985 completed May 11, 2026, 6:06 p.m.
Created at: April 10, 2026, 6:04 a.m.