Triple
T20143834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEU |
E491246
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 东北大学 |
—
|
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: 东北大学 | Statement: [NEU, nativeName, 东北大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 东北大学 Context triple: [NEU, nativeName, 东北大学]
-
A.
東北大学
東北大学は、日本の宮城県仙台市に本部を置く、研究力と工学・理学分野で特に高い評価を受ける国立総合大学です。
-
B.
南开大学
南开大学 is a prestigious comprehensive research university in Tianjin, China, renowned for its strong academic tradition and influential alumni.
-
C.
Dongbei University of Finance and Economics
chosen
Dongbei University of Finance and Economics is a prominent Chinese university specializing in finance, economics, and management disciplines.
-
D.
Dalian University of Technology
Dalian University of Technology is a major national research university in China known for its strong engineering, technology, and applied sciences programs.
-
E.
Shenyang North campus
Shenyang North campus is a major campus of China Medical University in Shenyang, serving as one of its key sites for medical education and research.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679cbc388190bb2b444a69a597a6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.