Triple

T3876341
Position Surface form Disambiguated ID Type / Status
Subject Oshana Region E92509 entity
Predicate containsSettlement P847 FINISHED
Object Ondangwa
Ondangwa is a town in northern Namibia that serves as an important commercial and transport hub for the surrounding Oshana Region.
 E397823 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: Ondangwa | Statement: [Oshana Region, containsSettlement, Ondangwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ondangwa
Context triple: [Oshana Region, containsSettlement, Ondangwa]
  • A. Bashenga
    Bashenga is a legendary Wakandan warrior and the first Black Panther, revered as the founder of the Panther cult and an ancestor of T'Challa in Marvel Comics.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • D. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • E. Lobatse
    Lobatse is a town in southeastern Botswana known as an early administrative and industrial center, located south of Gaborone near the South African border.
  • 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: Ondangwa
Triple: [Oshana Region, containsSettlement, Ondangwa]
Generated description
Ondangwa is a town in northern Namibia that serves as an important commercial and transport hub for the surrounding Oshana Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ondangwa
Target entity description: Ondangwa is a town in northern Namibia that serves as an important commercial and transport hub for the surrounding Oshana Region.
  • A. Bashenga
    Bashenga is a legendary Wakandan warrior and the first Black Panther, revered as the founder of the Panther cult and an ancestor of T'Challa in Marvel Comics.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • D. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • E. Lobatse
    Lobatse is a town in southeastern Botswana known as an early administrative and industrial center, located south of Gaborone near the South African border.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec719c148190a731773ac262221b completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c87214881908e03f5c770c58713 completed March 14, 2026, 8:29 a.m.
NEDg Description generation batch_69b51d51e52881908f798b12ee123d69 completed March 14, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69b51dba68fc8190b02b0ca47f4f7803 completed March 14, 2026, 8:35 a.m.
Created at: March 9, 2026, 3:20 p.m.