Triple
T19748050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Chinese Language and Culture |
E474303
|
entity |
| Predicate | typicalStudentQualification |
P125484
|
FINISHED |
| Object | high school graduates |
—
|
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: high school graduates | Statement: [Department of Chinese Language and Culture, typicalStudentQualification, high school graduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStudentQualification Context triple: [Department of Chinese Language and Culture, typicalStudentQualification, high school graduates]
-
A.
typicalStudentStatus
Indicates the usual or standard enrollment or academic standing that a student typically holds within an educational context.
-
B.
typicalQualificationAwarded
chosen
Indicates the qualification that is most commonly or normally awarded as a result of completing a given program, course, or activity.
-
C.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
D.
typicalStudentOutcome
Indicates the usual or expected result, achievement, or status that students generally attain under normal conditions.
-
E.
typicalStudentBackground
Indicates that an entity has the usual or commonly expected background or profile for a student in a given context.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.