Triple
T5149233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Law School (Professional), Kobe University |
E116150
|
entity |
| Predicate | degreeTypeAwarded |
P6
|
FINISHED |
| Object | professional degree in law |
—
|
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: professional degree in law | Statement: [Graduate School of Law School (Professional), Kobe University, degreeTypeAwarded, professional degree in law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeTypeAwarded Context triple: [Graduate School of Law School (Professional), Kobe University, degreeTypeAwarded, professional degree in law]
-
A.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
B.
academicDegree
chosen
Indicates that an entity holds or has been awarded a specific academic degree.
-
C.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
D.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
E.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.