Triple

T7152189
Position Surface form Disambiguated ID Type / Status
Subject Lilongwe E166716 entity
Predicate airportServes P4363 FINISHED
Object Kamuzu International Airport E646488 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: Kamuzu International Airport | Statement: [Lilongwe, airportServes, Kamuzu International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamuzu International Airport
Context triple: [Lilongwe, airportServes, Kamuzu International Airport]
  • A. Kamuzu International Airport chosen
    Kamuzu International Airport is the main international airport serving Lilongwe and one of the primary gateways to Malawi.
  • B. Julius Nyerere International Airport
    Julius Nyerere International Airport is the main international gateway to Tanzania, serving as the primary airport for the coastal city of Dar es Salaam.
  • C. Mpanda Airport
    Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
  • D. Moi International Airport
    Moi International Airport is a major international airport serving the coastal city of Mombasa, Kenya, handling both domestic and international passenger and cargo flights.
  • E. Dodoma Airport
    Dodoma Airport is a public airport serving the capital city of Tanzania, providing regional air connections and access to the Dodoma area.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf817e4c819098268479f3fb181f completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:46 p.m.