Triple

T4302713
Position Surface form Disambiguated ID Type / Status
Subject Oshiwambo E99877 entity
Predicate hasDialect P4251 FINISHED
Object Oshindali
Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
 E429361 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: Oshindali | Statement: [Oshiwambo, hasDialect, Oshindali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oshindali
Context triple: [Oshiwambo, hasDialect, Oshindali]
  • A. Ngozi Olejeme
    Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
  • B. Mchale
    Mchale is a surname, a variant spelling of McHale, borne by various individuals of Irish origin.
  • C. 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.
  • D. Sun Kosi
    The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
  • E. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • 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: Oshindali
Triple: [Oshiwambo, hasDialect, Oshindali]
Generated description
Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oshindali
Target entity description: Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • A. Ngozi Olejeme
    Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
  • B. Mchale
    Mchale is a surname, a variant spelling of McHale, borne by various individuals of Irish origin.
  • C. 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.
  • D. Sun Kosi
    The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
  • E. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • 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.