Triple
T5971550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanbian Korean Autonomous Prefecture |
E132885
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Tumen
Tumen is a border city in northeastern China’s Jilin province, known for its location along the Tumen River facing North Korea.
|
E559938
|
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: Tumen | Statement: [Yanbian Korean Autonomous Prefecture, hasMajorCity, Tumen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumen Context triple: [Yanbian Korean Autonomous Prefecture, hasMajorCity, Tumen]
-
A.
Argun
Argun is a small city in the Chechen Republic of Russia, located just southeast of the regional capital Grozny.
-
B.
Tumen River
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).
-
C.
Amursk
Amursk is a small industrial town in Russia’s Far East, situated on the Amur River and known for its timber and pulp-and-paper industries.
-
D.
Il Tumen
Il Tumen is the unicameral regional parliament of the Sakha Republic (Yakutia) in the Russian Federation.
-
E.
Chagan River
The Chagan River is a smaller watercourse in Russia and Kazakhstan that feeds into the Ural River within the Ural basin.
- 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: Tumen Triple: [Yanbian Korean Autonomous Prefecture, hasMajorCity, Tumen]
Generated description
Tumen is a border city in northeastern China’s Jilin province, known for its location along the Tumen River facing North Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tumen Target entity description: Tumen is a border city in northeastern China’s Jilin province, known for its location along the Tumen River facing North Korea.
-
A.
Argun
Argun is a small city in the Chechen Republic of Russia, located just southeast of the regional capital Grozny.
-
B.
Tumen River
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).
-
C.
Amursk
Amursk is a small industrial town in Russia’s Far East, situated on the Amur River and known for its timber and pulp-and-paper industries.
-
D.
Il Tumen
Il Tumen is the unicameral regional parliament of the Sakha Republic (Yakutia) in the Russian Federation.
-
E.
Chagan River
The Chagan River is a smaller watercourse in Russia and Kazakhstan that feeds into the Ural River within the Ural basin.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c049ff0eec8190834f77bafae943ce |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40a67bc8190a57884f7c6aa1b9d |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f88f4e048190810351c4aebf363c |
completed | March 23, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f982c95c819081b2cf2c429c21bc |
completed | March 23, 2026, 8:27 a.m. |
Created at: March 22, 2026, 4:03 p.m.