Triple
T11390011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N’Dolo Airport |
E269810
|
entity |
| Predicate | nearbyWaterBody |
P1094
|
FINISHED |
| Object | Congo River |
E29137
|
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: Congo River | Statement: [N’Dolo Airport, nearbyWaterBody, Congo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Congo River Context triple: [N’Dolo Airport, nearbyWaterBody, Congo River]
-
A.
Congo River
chosen
The Congo River is Africa’s second-longest river and the world’s deepest, flowing through central Africa to the Atlantic Ocean and serving as a major waterway for transport, ecology, and regional economies.
-
B.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
C.
Nam River
The Nam River is a river in South Korea that flows through the city of Jinju and is known for its scenic views and historical significance in the region.
-
D.
Kongō
Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
-
E.
Niger River
The Niger River is a major West African river that flows in a great arc through countries including Guinea, Mali, Niger, and Nigeria before emptying into the Atlantic Ocean.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b813cfc48190a10d9b78953112ae |
completed | April 20, 2026, 5:22 a.m. |
Created at: April 8, 2026, 9:34 p.m.