Triple
T2886614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenisei River |
E59520
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | Angara River |
E322487
|
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: Angara River | Statement: [Yenisei River, tributary, Angara River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angara River Context triple: [Yenisei River, tributary, Angara River]
-
A.
Angara River
chosen
The Angara River is a major river in Siberia that flows northward from Lake Baikal through Irkutsk Oblast before joining the Yenisei River.
-
B.
Upper Angara River
The Upper Angara River is a major Siberian river in Russia that flows through Buryatia and Zabaykalsky Krai before emptying into Lake Baikal.
-
C.
Bolshaya Urta River
The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
-
D.
Lena River
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
E.
Yenisei River
The Yenisei River is one of the longest rivers in Asia, flowing northward through Siberia to the Arctic Ocean and forming a major part of the central Eurasian river system.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0463ccc8190bf08330f40d0cfdc |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5281079fc8190a69ae43b14407736 |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 6, 2026, 10:03 p.m.