Triple

T23271029
Position Surface form Disambiguated ID Type / Status
Subject Ambo E588288 entity
Predicate notableKingdom P20193 FINISHED
Object Ongandjera
Ongandjera is a traditional kingdom of the Ovambo people in northern Namibia, known for its historical role in regional politics and culture.
E1590642 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: Ongandjera | Statement: [Ambo, notableKingdom, Ongandjera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ongandjera
Context triple: [Ambo, notableKingdom, Ongandjera]
  • A. Omaruru
    Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
  • B. Wandope
    Wandope is a fell in England’s Lake District, known as one of the quieter peaks in the North Western Fells with broad grassy slopes and expansive views.
  • C. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • D. Ondonga
    Ondonga is a traditional kingdom of the Ovambo people in northern Namibia, known for its rich cultural heritage and longstanding monarchical system.
  • E. Gwembe
    Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
  • 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: Ongandjera
Triple: [Ambo, notableKingdom, Ongandjera]
Generated description
Ongandjera is a traditional kingdom of the Ovambo people in northern Namibia, known for its historical role in regional politics and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ongandjera
Target entity description: Ongandjera is a traditional kingdom of the Ovambo people in northern Namibia, known for its historical role in regional politics and culture.
  • A. Omaruru
    Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
  • B. Wandope
    Wandope is a fell in England’s Lake District, known as one of the quieter peaks in the North Western Fells with broad grassy slopes and expansive views.
  • C. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • D. Ondonga
    Ondonga is a traditional kingdom of the Ovambo people in northern Namibia, known for its rich cultural heritage and longstanding monarchical system.
  • E. Gwembe
    Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957418fc819085ee528622e0c6de completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf2ad70881909a287c5771a38f5d completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce1b65028819085db361355416229 completed May 19, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce22ac5ac8190b708bb201fdf3af8 completed May 19, 2026, 10:20 p.m.
Created at: April 17, 2026, 4:45 p.m.