Triple
T9433182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lualaba River |
E227434
|
entity |
| Predicate | basin |
P5506
|
FINISHED |
| Object | Congo Basin |
E55301
|
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 Basin | Statement: [Lualaba River, basin, Congo Basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Congo Basin Context triple: [Lualaba River, basin, Congo Basin]
-
A.
Congo Rainforest
chosen
The Congo Rainforest is the world’s second-largest tropical rainforest, a vast biodiversity hotspot in Central Africa that plays a crucial role in global climate regulation and carbon storage.
-
B.
Banda Basin
The Banda Basin is a deep oceanic basin in eastern Indonesia, known for its complex tectonic setting and very deep waters within the Banda Sea region.
-
C.
Kongo Jungle
Kongo Jungle is a lush, tropical jungle region in the Donkey Kong video game series, often serving as the iconic home and starting area for Donkey Kong and his friends.
-
D.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
E.
Bandama River basin
The Bandama River basin is the largest river drainage system in Côte d'Ivoire, encompassing much of the country's central region and supporting agriculture, settlements, and hydropower.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e61a114819081fc4a2ad39c96ba |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178dbf13c8190a75c9e3aebb6f04c |
completed | April 4, 2026, 8:47 p.m. |
Created at: March 30, 2026, 7:49 p.m.