Triple
T7771648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpanda |
E179086
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Mpanda Airport |
E183901
|
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: Mpanda Airport | Statement: [Mpanda, hasTransport, Mpanda Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mpanda Airport Context triple: [Mpanda, hasTransport, Mpanda Airport]
-
A.
Mpanda Airport
chosen
Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
-
B.
N’Dolo Airport
N’Dolo Airport is a smaller, secondary airfield serving Kinshasa in the Democratic Republic of the Congo, primarily handling domestic and regional flights.
-
C.
Kamuzu International Airport
Kamuzu International Airport is the main international airport serving Lilongwe and one of the primary gateways to Malawi.
-
D.
Matadi Tshimpi Airport
Matadi Tshimpi Airport is a public airport serving the city of Matadi in the Kongo Central Province of the Democratic Republic of the Congo.
-
E.
Sam Mbakwe International Cargo Airport
Sam Mbakwe International Cargo Airport is the main airport serving Imo State in southeastern Nigeria, handling both passenger and cargo flights.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7045ebae88190a04c8f972795e615 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6d65e308190924c05df5a0a4959 |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:11 p.m.