Triple

T4302714
Position Surface form Disambiguated ID Type / Status
Subject Oshiwambo E99877 entity
Predicate hasDialect P4251 FINISHED
Object Oshikolonghadhi
Oshikolonghadhi is a regional dialect of the Oshiwambo language spoken by communities in northern Namibia.
 E429362 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: Oshikolonghadhi | Statement: [Oshiwambo, hasDialect, Oshikolonghadhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oshikolonghadhi
Context triple: [Oshiwambo, hasDialect, Oshikolonghadhi]
  • A. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • B. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • C. Odishi
    Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
  • D. Ozabeni
    Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • E. Kisolongo
    Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central 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: Oshikolonghadhi
Triple: [Oshiwambo, hasDialect, Oshikolonghadhi]
Generated description
Oshikolonghadhi is a regional dialect of the Oshiwambo language spoken by communities in northern Namibia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oshikolonghadhi
Target entity description: Oshikolonghadhi is a regional dialect of the Oshiwambo language spoken by communities in northern Namibia.
  • A. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • B. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • C. Odishi
    Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
  • D. Ozabeni
    Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • E. Kisolongo
    Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b66450819089c9ff6ff9f045e5 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7507f1081909cf737dff00542d9 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c909b7848190bbe00249e0c9e555 completed March 14, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69b5c97117088190972bba5dbc1553f7 completed March 14, 2026, 8:47 p.m.
Created at: March 12, 2026, 11:08 p.m.