Triple
T2502797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZUEL |
E52504
|
entity |
| Predicate | campus |
P269
|
FINISHED |
| Object | Nanhu Campus |
E52505
|
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: Nanhu Campus | Statement: [ZUEL, campus, Nanhu Campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanhu Campus Context triple: [ZUEL, campus, Nanhu Campus]
-
A.
Nanhu Campus
chosen
Nanhu Campus is one of the main campuses of Zhongnan University of Economics and Law, housing a significant portion of its academic and student facilities.
-
B.
Jiangwan campus
Jiangwan campus is one of Fudan University's main campuses in Shanghai, known for its modern facilities and expansive, newly developed grounds.
-
C.
Guanggu Campus
Guanggu Campus is a branch campus of Central China Normal University located in Wuhan’s Optics Valley (Guanggu) area, known for its modern facilities and focus on science and technology disciplines.
-
D.
Yujiatou Campus
Yujiatou Campus is one of the main campuses of Central China Normal University in Wuhan, China, housing various academic, administrative, and student facilities.
-
E.
Wushan Campus
Wushan Campus is the main campus of South China University of Technology, located in the Wushan area of Guangzhou, China.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cb4f6481908d4e0a1dc0d84d3c |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa34dc8819085681d673e45d841 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.