Triple
T17442857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马鞍山 |
E424699
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object |
马鞍山学院
马鞍山学院是一所位于中国安徽省马鞍山市的全日制普通本科高等院校。
|
E1269108
|
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: 马鞍山学院 | Statement: [马鞍山, hasUniversity, 马鞍山学院]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 马鞍山学院 Context triple: [马鞍山, hasUniversity, 马鞍山学院]
-
A.
Xuancheng campus
Xuancheng campus is a branch campus of Hefei University of Technology located in Xuancheng, Anhui Province, China.
-
B.
Huainan Normal University
Huainan Normal University is a public undergraduate institution in Huainan, Anhui Province, China, known for its teacher education and multidisciplinary programs.
-
C.
South Campus, Hefei
South Campus, Hefei is a major teaching and research campus of the University of Science and Technology of China located in the city of Hefei.
-
D.
Jiangyin Campus
Jiangyin Campus is a branch campus of Nanjing University of Science and Technology located in Jiangyin, Jiangsu Province, supporting the university’s teaching and research activities.
-
E.
Mafangshan Campus
Mafangshan Campus is one of the main campuses of Wuhan University of Technology in Wuhan, China, housing a large portion of the university’s academic and student facilities.
- 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: 马鞍山学院 Triple: [马鞍山, hasUniversity, 马鞍山学院]
Generated description
马鞍山学院是一所位于中国安徽省马鞍山市的全日制普通本科高等院校。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 马鞍山学院 Target entity description: 马鞍山学院是一所位于中国安徽省马鞍山市的全日制普通本科高等院校。
-
A.
Xuancheng campus
Xuancheng campus is a branch campus of Hefei University of Technology located in Xuancheng, Anhui Province, China.
-
B.
Huainan Normal University
Huainan Normal University is a public undergraduate institution in Huainan, Anhui Province, China, known for its teacher education and multidisciplinary programs.
-
C.
South Campus, Hefei
South Campus, Hefei is a major teaching and research campus of the University of Science and Technology of China located in the city of Hefei.
-
D.
Jiangyin Campus
Jiangyin Campus is a branch campus of Nanjing University of Science and Technology located in Jiangyin, Jiangsu Province, supporting the university’s teaching and research activities.
-
E.
Mafangshan Campus
Mafangshan Campus is one of the main campuses of Wuhan University of Technology in Wuhan, China, housing a large portion of the university’s academic and student facilities.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01aff63d688190b8fa63c8edafc01c |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0a265348190a884a58f3caf54df |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b1b0553c8190bb76969fe95154ff |
completed | May 11, 2026, 10:38 a.m. |
Created at: April 10, 2026, 5:47 a.m.