Triple
T6354152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumen River |
E142948
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Tumen Jiang |
E142948
|
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: Tumen Jiang | Statement: [Tumen River, hasAlternativeName, Tumen Jiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumen Jiang Context triple: [Tumen River, hasAlternativeName, Tumen Jiang]
-
A.
Tumen River
chosen
The Tumen River is a border river in Northeast Asia that flows between China, North Korea, and Russia before emptying into the Sea of Japan (East Sea).
-
B.
Heilong Jiang
Heilong Jiang is a major river in Northeast Asia that forms part of the border between China and Russia and is known internationally as the Amur River.
-
C.
Suifenhe
Suifenhe is a border city in northeastern China known as a major gateway for trade and transportation between China and Russia.
-
D.
Hwang River
The Hwang River is a river in South Korea that feeds into the Nakdong River, contributing to one of the country’s major watershed systems.
-
E.
Liao River
The Liao River is a major river in northeastern China that flows through the historical region of Manchuria before emptying into the Bohai Sea.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6637a1b548190b5af5cbae81346e8 |
completed | March 27, 2026, 11:01 a.m. |
Created at: March 22, 2026, 4:31 p.m.