Triple

T6561868
Position Surface form Disambiguated ID Type / Status
Subject Muanda E153801 entity
Predicate hasAirport P105 FINISHED
Object Muanda Airport E307332 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: Muanda Airport | Statement: [Muanda, hasAirport, Muanda Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muanda Airport
Context triple: [Muanda, hasAirport, Muanda Airport]
  • A. Muanda Airport chosen
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • B. Uytash Airport
    Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
  • C. Hewanorra International Airport
    Hewanorra International Airport is the main international gateway to Saint Lucia, serving as the island’s primary hub for long-haul and regional flights.
  • D. Butaritari Airport
    Butaritari Airport is a small public airfield serving the island of Butaritari in Kiribati, providing vital domestic air connections for the local population.
  • E. Yola Airport
    Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae38e94081908f964d130f9147d8 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7867e688190aad8cc2b396a64eb completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:52 p.m.