Triple
T9960743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitega |
E195559
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Gitega Airport
Gitega Airport is a small public airport serving the city of Gitega, the political capital of Burundi.
|
E831902
|
NE FINISHED |
How this triple was built (4 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: Gitega Airport | Statement: [Gitega, hasTransport, Gitega Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gitega Airport Context triple: [Gitega, hasTransport, Gitega Airport]
-
A.
Kamuzu International Airport
Kamuzu International Airport is the main international airport serving Lilongwe and one of the primary gateways to Malawi.
-
B.
Kigoma Airport
Kigoma Airport is a public airport in western Tanzania that serves the town of Kigoma on the shores of Lake Tanganyika.
-
C.
Kigali International Airport
Kigali International Airport is Rwanda’s main international gateway, serving as the primary hub for air travel to and from the capital city of Kigali.
-
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.
Mpanda Airport
Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gitega Airport Triple: [Gitega, hasTransport, Gitega Airport]
Generated description
Gitega Airport is a small public airport serving the city of Gitega, the political capital of Burundi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gitega Airport Target entity description: Gitega Airport is a small public airport serving the city of Gitega, the political capital of Burundi.
-
A.
Kamuzu International Airport
Kamuzu International Airport is the main international airport serving Lilongwe and one of the primary gateways to Malawi.
-
B.
Kigoma Airport
Kigoma Airport is a public airport in western Tanzania that serves the town of Kigoma on the shores of Lake Tanganyika.
-
C.
Kigali International Airport
Kigali International Airport is Rwanda’s main international gateway, serving as the primary hub for air travel to and from the capital city of Kigali.
-
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.
Mpanda Airport
Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
- F. None of above. chosen
Provenance (5 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d219c48190b2084b0eb07ae125 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d904bbc8190ac0b28600ed2e709 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23fa1e3288190b755b3966178ad52 |
completed | April 5, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24077720c81909a43ff56627095a1 |
completed | April 5, 2026, 10:59 a.m. |
Created at: March 30, 2026, 8:47 p.m.