Triple
T19986528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suihua |
E493946
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Zhaodong
Zhaodong is a county-level city in Heilongjiang Province in northeastern China, administered by the prefecture-level city of Suihua.
|
E1408054
|
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: Zhaodong | Statement: [Suihua, hasAdministrativeDivision, Zhaodong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhaodong Context triple: [Suihua, hasAdministrativeDivision, Zhaodong]
-
A.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
B.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
-
C.
Danzhou
Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic center.
-
D.
Dengzhou
Dengzhou is a county-level city in Henan Province, China, historically notable as the birthplace of the famed Ming dynasty general Qi Jiguang.
-
E.
Hegang
Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
- 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: Zhaodong Triple: [Suihua, hasAdministrativeDivision, Zhaodong]
Generated description
Zhaodong is a county-level city in Heilongjiang Province in northeastern China, administered by the prefecture-level city of Suihua.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhaodong Target entity description: Zhaodong is a county-level city in Heilongjiang Province in northeastern China, administered by the prefecture-level city of Suihua.
-
A.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
B.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
-
C.
Danzhou
Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic center.
-
D.
Dengzhou
Dengzhou is a county-level city in Henan Province, China, historically notable as the birthplace of the famed Ming dynasty general Qi Jiguang.
-
E.
Hegang
Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815f277ec8190b7f4a15baa3ceb49 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a081675aebc8190918dc43e76468d08 |
completed | May 16, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08171724cc81908d6997dbae84ad9e |
completed | May 16, 2026, 7:04 a.m. |
Created at: April 11, 2026, 3:29 p.m.