Triple
T13666174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jin (state) |
E327125
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Jiangzhou (絳州)
Jiangzhou (絳州) was an ancient Chinese city that served as the political and administrative center of the state of Jin during the Zhou dynasty period.
|
E1052638
|
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: Jiangzhou (絳州) | Statement: [Jin (state), capital, Jiangzhou (絳州)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiangzhou (絳州) Context triple: [Jin (state), capital, Jiangzhou (絳州)]
-
A.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
B.
Jingnan
Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
-
C.
Weinan
Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
-
D.
Liyang
Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
-
E.
Hongzhou
Hongzhou was a prominent Tang dynasty Buddhist monk whose teachings gave rise to the influential Hongzhou school of Chan (Zen) Buddhism.
- 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: Jiangzhou (絳州) Triple: [Jin (state), capital, Jiangzhou (絳州)]
Generated description
Jiangzhou (絳州) was an ancient Chinese city that served as the political and administrative center of the state of Jin during the Zhou dynasty period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jiangzhou (絳州) Target entity description: Jiangzhou (絳州) was an ancient Chinese city that served as the political and administrative center of the state of Jin during the Zhou dynasty period.
-
A.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
B.
Jingnan
Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
-
C.
Weinan
Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
-
D.
Liyang
Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
-
E.
Hongzhou
Hongzhou was a prominent Tang dynasty Buddhist monk whose teachings gave rise to the influential Hongzhou school of Chan (Zen) Buddhism.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:52 p.m.