Triple

T7283137
Position Surface form Disambiguated ID Type / Status
Subject Congo Airways E163798 entity
Predicate cityServed P82 FINISHED
Object Mbuji-Mayi
Mbuji-Mayi is a major city in south-central Democratic Republic of the Congo, known as a key center of the country’s diamond mining industry.
 E654234 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: Mbuji-Mayi | Statement: [Congo Airways, cityServed, Mbuji-Mayi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbuji-Mayi
Context triple: [Congo Airways, cityServed, Mbuji-Mayi]
  • A. Dutsin-Ma
    Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
  • B. Bunia
    Bunia is a city in northeastern Democratic Republic of the Congo that has been a focal point of regional conflict and international peacekeeping efforts.
  • C. Nkawkaw
    Nkawkaw is a major commercial town and transport hub in southern Ghana, located along the Accra–Kumasi highway at the base of the Kwahu Plateau.
  • D. Ebolowa
    Ebolowa is a city in southern Cameroon that serves as an administrative and commercial center for the surrounding agricultural region.
  • E. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • 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: Mbuji-Mayi
Triple: [Congo Airways, cityServed, Mbuji-Mayi]
Generated description
Mbuji-Mayi is a major city in south-central Democratic Republic of the Congo, known as a key center of the country’s diamond mining industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbuji-Mayi
Target entity description: Mbuji-Mayi is a major city in south-central Democratic Republic of the Congo, known as a key center of the country’s diamond mining industry.
  • A. Dutsin-Ma
    Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
  • B. Bunia
    Bunia is a city in northeastern Democratic Republic of the Congo that has been a focal point of regional conflict and international peacekeeping efforts.
  • C. Nkawkaw
    Nkawkaw is a major commercial town and transport hub in southern Ghana, located along the Accra–Kumasi highway at the base of the Kwahu Plateau.
  • D. Ebolowa
    Ebolowa is a city in southern Cameroon that serves as an administrative and commercial center for the surrounding agricultural region.
  • E. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4ec2088190a6713eaa221d49a6 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3ae6a08190820c7096cbfea521 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbe3e2ac8190a112ff01244f6a81 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfc15d2c8190afcf8572ff3dbb6d completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.