Triple

T7283140
Position Surface form Disambiguated ID Type / Status
Subject Congo Airways E163798 entity
Predicate cityServed P82 FINISHED
Object Kananga
Kananga is a major city in the Democratic Republic of the Congo and the capital of Kasai-Central Province.
 E654236 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: Kananga | Statement: [Congo Airways, cityServed, Kananga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kananga
Context triple: [Congo Airways, cityServed, Kananga]
  • A. Kananga
    Kananga is the primary antagonist and Caribbean dictator in the James Bond film "Live and Let Die," who operates under the alias Mr. Big as a powerful drug lord.
  • B. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • C. Chilombo
    Chilombo is the surname of American R&B singer and songwriter Jhené Aiko, reflecting her mixed Japanese, African American, and Native American heritage.
  • D. Komenda
    Komenda is a coastal town in Ghana’s Central Region historically known as an important Fante trading and fishing center.
  • E. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • 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: Kananga
Triple: [Congo Airways, cityServed, Kananga]
Generated description
Kananga is a major city in the Democratic Republic of the Congo and the capital of Kasai-Central Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kananga
Target entity description: Kananga is a major city in the Democratic Republic of the Congo and the capital of Kasai-Central Province.
  • A. Kananga
    Kananga is the primary antagonist and Caribbean dictator in the James Bond film "Live and Let Die," who operates under the alias Mr. Big as a powerful drug lord.
  • B. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • C. Chilombo
    Chilombo is the surname of American R&B singer and songwriter Jhené Aiko, reflecting her mixed Japanese, African American, and Native American heritage.
  • D. Komenda
    Komenda is a coastal town in Ghana’s Central Region historically known as an important Fante trading and fishing center.
  • E. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • 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.