Triple

T14616045
Position Surface form Disambiguated ID Type / Status
Subject Bengo Province E343087 entity
Predicate containsSettlement P847 FINISHED
Object Nambuangongo
Nambuangongo is a town and municipality in Angola known historically for its role in the Angolan War of Independence.
E1110097 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: Nambuangongo | Statement: [Bengo Province, containsSettlement, Nambuangongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nambuangongo
Context triple: [Bengo Province, containsSettlement, Nambuangongo]
  • A. Nungal
    Nungal is a Mesopotamian goddess associated with prisons, justice, and the protection and rehabilitation of offenders.
  • B. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • C. Nanumanga
    Nanumanga is a small coral atoll and one of the islands of the Pacific island nation of Tuvalu.
  • D. Nangatobong
    Nangatobong is a settlement located in the vicinity of Mount Egon on the island of Flores in Indonesia.
  • E. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • 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: Nambuangongo
Triple: [Bengo Province, containsSettlement, Nambuangongo]
Generated description
Nambuangongo is a town and municipality in Angola known historically for its role in the Angolan War of Independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nambuangongo
Target entity description: Nambuangongo is a town and municipality in Angola known historically for its role in the Angolan War of Independence.
  • A. Nungal
    Nungal is a Mesopotamian goddess associated with prisons, justice, and the protection and rehabilitation of offenders.
  • B. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • C. Nanumanga
    Nanumanga is a small coral atoll and one of the islands of the Pacific island nation of Tuvalu.
  • D. Nangatobong
    Nangatobong is a settlement located in the vicinity of Mount Egon on the island of Flores in Indonesia.
  • E. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb26b3ec481909c37e56eca8c7a82 completed May 8, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_69fdb34d945c8190a464c0d4e5612ceb completed May 8, 2026, 9:56 a.m.
Created at: April 10, 2026, 1:25 a.m.