Triple
T7947083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 双一流 |
E184523
|
entity |
| Predicate | 前身 |
P97
|
FINISHED |
| Object | 985工程 |
E184524
|
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: 985工程 | Statement: [双一流, 前身, 985工程]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 985工程 Context triple: [双一流, 前身, 985工程]
-
A.
985工程
chosen
985工程是中国政府于1998年启动的一项重点建设世界一流大学的高等教育发展工程。
-
B.
211工程
211工程是中国政府于1990年代启动的一项重点建设计划，旨在集中资源提升一批高校的整体办学水平和科研能力，以推动高等教育和国家发展。
-
C.
双一流
双一流是中国政府为建设世界一流大学和一流学科而实施的高等教育发展战略与高校评选体系的简称。
-
D.
Hangzhou Dianzi University
Hangzhou Dianzi University is a Chinese public university in Hangzhou known for its strong programs in electronics, information technology, and engineering.
-
E.
Beijing University of Civil Engineering and Architecture
Beijing University of Civil Engineering and Architecture is a specialized Chinese university in Beijing known for its strong programs in architecture, civil engineering, and urban planning.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2abdbc819085ae53826d36af3b |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:09 p.m.