Triple
T23096082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Rwanda |
E575892
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lake Ihema |
—
|
NE NERFINISHED |
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: Lake Ihema | Statement: [Eastern Rwanda, contains, Lake Ihema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Ihema Context triple: [Eastern Rwanda, contains, Lake Ihema]
-
A.
Lake Ihema
chosen
Lake Ihema is a large freshwater lake in eastern Rwanda, known for its rich birdlife, hippos, and crocodiles within the Akagera wetland ecosystem.
-
B.
Lake Ilsanjo
Lake Ilsanjo is a small reservoir and popular fishing and hiking destination located within Annadel State Park in Sonoma County, California.
-
C.
Lake Kuolimo
Lake Kuolimo is a clear-water lake in southeastern Finland known for its clean environment, natural beauty, and recreational opportunities such as fishing and boating.
-
D.
Lake Mafu
Lake Mafu is a small desert lake in the Ubari Sand Sea of southwestern Libya, known for its picturesque setting amid Saharan sand dunes.
-
E.
Matemale Lake
Matemale Lake is a large artificial reservoir in the Capcir region of the French Pyrenees, popular for outdoor recreation such as hiking, sailing, and fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de522e48190a37e6c2fda2de465 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.