Triple
T22069403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xunzi |
E545363
|
entity |
| Predicate | taughtAt |
P1203
|
FINISHED |
| Object | Jixia Academy |
—
|
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: Jixia Academy | Statement: [Xunzi, taughtAt, Jixia Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jixia Academy Context triple: [Xunzi, taughtAt, Jixia Academy]
-
A.
Jixia Academy
chosen
Jixia Academy was an influential intellectual and philosophical center of the Warring States period in ancient China, renowned for hosting scholars from various schools of thought.
-
B.
Songyang Academy
Songyang Academy is one of China’s oldest and most renowned Confucian academies, historically serving as a major center of learning and culture near Mount Song in Henan Province.
-
C.
Xiangshan Academy
Xiangshan Academy is a historic Confucian educational institution in China renowned as a center of Neo-Confucian thought.
-
D.
Hanlin Academy
Hanlin Academy was an elite scholarly institution of imperial China that selected and employed top Confucian literati to draft edicts, compile histories, and advise the emperor.
-
E.
Lianghu Academy
Lianghu Academy was a late Qing dynasty educational institution established under the reforms of statesman Zhang Zhidong to promote modern learning in China.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288724e881908b38fe7e56d3b448 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.