Triple

T7283122
Position Surface form Disambiguated ID Type / Status
Subject Congo Airways E163798 entity
Predicate hub P423 FINISHED
Object N’djili Airport E268783 NE FINISHED

How this triple was built (2 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: N’djili Airport | Statement: [Congo Airways, hub, N’djili Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N’djili Airport
Context triple: [Congo Airways, hub, N’djili Airport]
  • A. N’djili International Airport chosen
    N’djili International Airport is the main international gateway serving Kinshasa and one of the busiest airports in the Democratic Republic of the Congo.
  • B. Brazzaville Maya-Maya Airport
    Brazzaville Maya-Maya Airport is the main international airport serving Brazzaville, the capital city of the Republic of the Congo.
  • C. Léon-Mba International Airport
    Léon-Mba International Airport is the main international gateway to Gabon, serving the capital city of Libreville with both domestic and international flights.
  • D. Benina International Airport
    Benina International Airport is the main international airport serving the city of Benghazi in eastern Libya.
  • E. Bangui M’Poko International Airport
    Bangui M’Poko International Airport is the main international airport serving Bangui and the Central African Republic, handling the country’s primary passenger and cargo air traffic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 27, 2026, 2:59 p.m.