Triple
T36351093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Bishop: Breaking China |
E895204
|
entity |
| Predicate | featuresLanguageLearning |
—
|
GENERATED |
| Object | Mandarin Chinese |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLanguageLearning Context triple: [Des Bishop: Breaking China, featuresLanguageLearning, Mandarin Chinese]
-
A.
learnsLanguage
Indicates that an entity acquires knowledge or skill in a particular language through study or practice.
-
B.
focusesOnLanguage
Indicates that an entity’s primary attention, activity, or content is directed toward language as its main subject or concern.
-
C.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
D.
languageOfScientificLearning
Indicates the language in which scientific knowledge or instruction is taught, communicated, or acquired.
-
E.
languageOfTeachings
chosen
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
- F. None of above.
Provenance (1 batch)
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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.