Triple
T36604528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonders of China |
E903011
|
entity |
| Predicate | featuresAspect |
P61123
|
FINISHED |
| Object | Chinese landscapes |
—
|
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: Chinese landscapes | Statement: [Wonders of China, featuresAspect, Chinese landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAspect Context triple: [Wonders of China, featuresAspect, Chinese landscapes]
-
A.
featuresPerspective
Indicates that one entity presents, embodies, or incorporates the viewpoint, angle, or outlook provided by another entity.
-
B.
uniqueAspect
Indicates that the subject possesses a distinctive feature or characteristic that sets it apart from others.
-
C.
critiquesAspect
Indicates that one entity evaluates and expresses critical judgment about a particular aspect or component of another entity.
-
D.
coversAspect
chosen
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
E.
possibleAspect
Indicates that one entity can be viewed as a potential aspect, facet, or component of another entity.
- F. None of above.
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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.