Triple
T21948895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou University |
E542008
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 郑州大学 |
—
|
NE NERFINISHED |
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: 郑州大学 | Statement: [Zhengzhou University, nativeName, 郑州大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 郑州大学 Context triple: [Zhengzhou University, nativeName, 郑州大学]
-
A.
Zhengzhou University
chosen
Zhengzhou University is a major comprehensive public university in Henan Province, China, known for its large student population and wide range of academic disciplines.
-
B.
Henan University
Henan University is a major comprehensive public university in Kaifeng, China, known for its long history and wide range of academic disciplines.
-
C.
Henan Normal University
Henan Normal University is a comprehensive public university in Henan Province, China, known for its strong teacher education programs and broad range of academic disciplines.
-
D.
Xinxiang University
Xinxiang University is a comprehensive public higher education institution located in the city of Xinxiang in Henan Province, China.
-
E.
Henan University of Technology
Henan University of Technology is a public university in Zhengzhou, China, known for its strengths in engineering, grain science, and food-related disciplines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.