Triple
T15275244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinyuan District |
E365120
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
晋源区
晋源区 is an urban district of Taiyuan City in Shanxi Province, China, known for its historical sites and role as part of the provincial capital’s core area.
|
E1146697
|
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: 晋源区 | Statement: [Jinyuan District, hasChineseName, 晋源区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 晋源区 Context triple: [Jinyuan District, hasChineseName, 晋源区]
-
A.
杏花岭区
杏花岭区是中国山西省太原市下辖的一个市辖区，以其老城区风貌和历史文化资源而闻名。
-
B.
长治市
长治市是位于中国山西省东南部的一座地级市，以其悠久历史、红色革命文化和煤炭等资源型工业而闻名。
-
C.
长治
长治是位于中国山西省东南部的一座历史悠久的地级市，以煤炭资源和红色革命文化闻名。
-
D.
Xiaodian District, Taiyuan
Xiaodian District, Taiyuan is an urban district in the southern part of Taiyuan, Shanxi Province, known as a key transportation and development hub of the city.
-
E.
石景山区
石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
- 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: 晋源区 Triple: [Jinyuan District, hasChineseName, 晋源区]
Generated description
晋源区 is an urban district of Taiyuan City in Shanxi Province, China, known for its historical sites and role as part of the provincial capital’s core area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 晋源区 Target entity description: 晋源区 is an urban district of Taiyuan City in Shanxi Province, China, known for its historical sites and role as part of the provincial capital’s core area.
-
A.
杏花岭区
杏花岭区是中国山西省太原市下辖的一个市辖区，以其老城区风貌和历史文化资源而闻名。
-
B.
长治市
长治市是位于中国山西省东南部的一座地级市，以其悠久历史、红色革命文化和煤炭等资源型工业而闻名。
-
C.
长治
长治是位于中国山西省东南部的一座历史悠久的地级市，以煤炭资源和红色革命文化闻名。
-
D.
Xiaodian District, Taiyuan
Xiaodian District, Taiyuan is an urban district in the southern part of Taiyuan, Shanxi Province, known as a key transportation and development hub of the city.
-
E.
石景山区
石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee608217881909c9f7f7c753cf0a8 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee7a3e9a081908b6b2addc66c0c75 |
completed | May 9, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee7fa2fe48190b7ba9b3cda2b8f31 |
completed | May 9, 2026, 7:53 a.m. |
Created at: April 10, 2026, 3:14 a.m.