Triple
T4933773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argun River |
E110759
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ergun River
The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
|
E485465
|
NE FINISHED |
How this triple was built (4 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: Ergun River | Statement: [Argun River, alsoKnownAs, Ergun River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ergun River Context triple: [Argun River, alsoKnownAs, Ergun River]
-
A.
Ziya River
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
-
B.
Keles River
The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
-
C.
Kilmez River
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
D.
Tunca River
The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
-
E.
Gediz River
The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ergun River Triple: [Argun River, alsoKnownAs, Ergun River]
Generated description
The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ergun River Target entity description: The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
-
A.
Ziya River
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
-
B.
Keles River
The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
-
C.
Kilmez River
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
D.
Tunca River
The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
-
E.
Gediz River
The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
- F. None of above. chosen
Provenance (5 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7066ed548190a76a9559f90e3869 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89eb6cac8190b82bef41062fc8f1 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8e2f9ed48190b05b4cb4f173a501 |
completed | March 21, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8e7a52a081908910686229c42745 |
completed | March 21, 2026, 12:26 p.m. |
Created at: March 20, 2026, 1:30 p.m.