Triple
T12637794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onega Bay |
E301810
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object | Kem 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: Kem River | Statement: [Onega Bay, hasInflow, Kem River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kem River Context triple: [Onega Bay, hasInflow, Kem River]
-
A.
Kem River
chosen
The Kem River is a waterway in northwestern Russia that flows through the Republic of Karelia and empties into the White Sea.
-
B.
Korang River
Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
-
C.
Kuvam River
Kuvam River is an alternative name for the Cooum River, a short but historically significant river flowing through the city of Chennai in the Indian state of Tamil Nadu.
-
D.
Strickland River
Strickland River is a major river in Papua New Guinea that flows through remote rainforest regions before joining the Fly River system.
-
E.
Merkys River
The Merkys River is a significant river in southern Lithuania and northeastern Belarus, known for its scenic valleys and role in regional ecosystems before joining the Neman.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
Created at: April 9, 2026, 5:16 p.m.