Triple
T27288395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xue Fucheng |
E688543
|
entity |
| Predicate | viewOnWest |
P169562
|
FINISHED |
| Object | supported learning from Western strengths while preserving Chinese culture |
—
|
LITERAL 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: supported learning from Western strengths while preserving Chinese culture | Statement: [Xue Fucheng, viewOnWest, supported learning from Western strengths while preserving Chinese culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnWest Context triple: [Xue Fucheng, viewOnWest, supported learning from Western strengths while preserving Chinese culture]
-
A.
viewOnSun
Indicates a relationship where an entity has a particular perspective, opinion, or stance regarding the sun.
-
B.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
- F. None of above. chosen
Provenance (4 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 27, 2026, 11:13 a.m.