Triple
T9896734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanjing Normal University |
E182193
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 南京师范大学 |
E182193
|
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: 南京师范大学 | Statement: [Nanjing Normal University, hasChineseName, 南京师范大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 南京师范大学 Context triple: [Nanjing Normal University, hasChineseName, 南京师范大学]
-
A.
Nanjing Normal University
chosen
Nanjing Normal University is a comprehensive public university in Nanjing, China, known for its strong teacher education programs and broad range of disciplines.
-
B.
Nanjing University
Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
-
C.
Nanjing Institute of Technology
Nanjing Institute of Technology was the former name of what is now Southeast University, a major public research university in Nanjing, China.
-
D.
Southeast University
Southeast University is a major public research university in Nanjing, China, known for its strong engineering, architecture, and technology programs.
-
E.
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.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb1355888190baf9846815801e92 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.