Triple
T12824920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Włodawka River |
E306623
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Bug River |
—
|
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: Bug River | Statement: [Włodawka River, mouth, Bug River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bug River Context triple: [Włodawka River, mouth, Bug River]
-
A.
Bug River
chosen
The Bug River is a major river in Eastern Europe that flows through Poland, Belarus, and Ukraine, forming part of the border between Poland and Belarus.
-
B.
Goodnews River
Goodnews River is a remote salmon-rich river in southwest Alaska known for its pristine wilderness and sport fishing opportunities.
-
C.
Canje River
The Canje River is a significant waterway in Guyana known for its role in regional agriculture, transportation, and settlement along the country’s coastal plain.
-
D.
Mutirikwi River
Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
-
E.
Jordanne River
The Jordanne River is a watercourse in south-central France that flows through the Cantal region, carving valleys in the Massif Central before joining larger river systems.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96edcc99c8190986cd78fe4714835 |
completed | April 10, 2026, 9:42 p.m. |
Created at: April 9, 2026, 5:32 p.m.