Triple
T22278740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garoua International Airport |
E550675
|
entity |
| Predicate | servesCountryConnections |
P147667
|
FINISHED |
| Object | domestic routes within Cameroon |
—
|
LITERAL 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: domestic routes within Cameroon | Statement: [Garoua International Airport, servesCountryConnections, domestic routes within Cameroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCountryConnections Context triple: [Garoua International Airport, servesCountryConnections, domestic routes within Cameroon]
-
A.
servesCountryGroup
Indicates that an entity provides service, support, or functions on behalf of a specified group of countries.
-
B.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
C.
destinationCountryServed
Indicates that a given entity (such as a service, route, or provider) serves or operates to a specified destination country.
-
D.
connectsCountryOrRegion
Indicates that one entity establishes a connection, link, or association to a specific country or region.
-
E.
hasGeographicConnectionTo
Indicates a relationship where two entities are linked through a shared or relevant geographic feature, location, or spatial association.
- F. None of above. chosen
Provenance (4 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea96948819081c1ae6c7b11ab62 |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:40 p.m.