Triple
T28790773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 賴清德 |
E726945
|
entity |
| Predicate | 畢業院校 |
P73067
|
FINISHED |
| Object | 國立臺灣大學醫學系 |
—
|
NE NERFINISHED |
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: 國立臺灣大學醫學系 | Statement: [賴清德, 畢業院校, 國立臺灣大學醫學系]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 畢業院校 Context triple: [賴清德, 畢業院校, 國立臺灣大學醫學系]
-
A.
出身大学
chosen
Indicates the university from which a person graduated or at which they completed their studies.
-
B.
大学院
Indicates that an entity is a graduate school or pertains to graduate-level education or affiliation.
-
C.
所属大学
Indicates that one entity is the university to which the other entity belongs or is affiliated (e.g., as a student, faculty member, or staff).
-
D.
graduatedTo
Indicates that one entity has successfully completed a course of study or training program at another entity and obtained a formal qualification or degree from it.
-
E.
undergraduateInstitutionOf
Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:23 a.m.