Triple
T14090932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Tsing Hua University |
E339127
|
entity |
| Predicate | hasPostgraduateStudentsApprox |
P3390
|
FINISHED |
| Object | 8000+ |
—
|
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: 8000+ | Statement: [National Tsing Hua University, hasPostgraduateStudentsApprox, 8000+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostgraduateStudentsApprox Context triple: [National Tsing Hua University, hasPostgraduateStudentsApprox, 8000+]
-
A.
hasDoctoralStudents
Indicates that a person serves as the doctoral advisor or supervisor of one or more doctoral students.
-
B.
postgraduatesApprox
chosen
Indicates that one entity has an approximate or estimated number of postgraduate students or postgraduate-related quantity equal to the other entity.
-
C.
hasDoctoralStudentsThrough
Indicates that one entity has doctoral students indirectly through another entity, such as via co-supervision, program affiliation, or intermediary supervision relationships.
-
D.
hasGraduateStudentsUnion
Indicates that an institution or academic department is represented by a formal union for its graduate students.
-
E.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.