Triple
T10350248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKU |
E243861
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Imperial University of Peking |
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: Imperial University of Peking | Statement: [PKU, formerName, Imperial University of Peking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imperial University of Peking Context triple: [PKU, formerName, Imperial University of Peking]
-
A.
Peking University
chosen
Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
-
B.
Peiyang University
Peiyang University was the original name of Tianjin University, one of China’s earliest and most prestigious modern higher education institutions.
-
C.
Beijing Normal University
Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
-
D.
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.
-
E.
Nanjing University
Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
- 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_69e4aca16a10819097bb8655c8c1a36d |
completed | April 19, 2026, 10:21 a.m. |
Created at: April 6, 2026, 11:57 a.m.