Triple
T10350242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKU |
E243861
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 北京大学 |
E50963
|
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: 北京大学 | Statement: [PKU, nativeName, 北京大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 北京大学 Context triple: [PKU, nativeName, 北京大学]
-
A.
Renmin University of China
Renmin University of China is a prestigious Beijing-based research university renowned for its strengths in the humanities and social sciences.
-
B.
Peking University
chosen
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
-
C.
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.
-
D.
Beijing Normal University
Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
-
E.
Beijing Language and Culture University
Beijing Language and Culture University is a prominent Chinese institution in Beijing specializing in teaching Chinese language and culture to international students and conducting related linguistic and cultural research.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e94796d881909e0b908de63a1aa3 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75095625c819082d4d0976a193e6c |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:57 a.m.