Triple
T10183400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wushan Campus |
E236843
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | SCUT Wushan Campus |
E236843
|
NE FINISHED |
How this triple was built (2 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: SCUT Wushan Campus | Statement: [Wushan Campus, hasAlternativeName, SCUT Wushan Campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCUT Wushan Campus Context triple: [Wushan Campus, hasAlternativeName, SCUT Wushan Campus]
-
A.
Wushan Campus
chosen
Wushan Campus is the main campus of South China University of Technology, located in the Wushan area of Guangzhou, China.
-
B.
Huaxi Campus
Huaxi Campus is a major campus of Sichuan University in Chengdu, known for its concentration of medical and health sciences faculties and affiliated hospitals.
-
C.
SCUT
SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
-
D.
Jiang’an Campus
Jiang’an Campus is one of the main campuses of Sichuan University, located in Chengdu and known for its modern facilities and expansive grounds.
-
E.
Jiangwan campus
Jiangwan campus is one of Fudan University's main campuses in Shanghai, known for its modern facilities and expansive, newly developed grounds.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3408b88190a7d981a6dcea48d9 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3179b9de88190ba3beb7d6dbf7ad3 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:12 p.m.