Triple
T7633594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontifical Roman Seminary |
E172818
|
entity |
| Predicate | confersDegree |
P45182
|
FINISHED |
| Object | ecclesiastical degrees in philosophy |
—
|
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: ecclesiastical degrees in philosophy | Statement: [Pontifical Roman Seminary, confersDegree, ecclesiastical degrees in philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersDegree Context triple: [Pontifical Roman Seminary, confersDegree, ecclesiastical degrees in philosophy]
-
A.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
B.
degreeGrantedBy
chosen
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
C.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
D.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
E.
academicDegree
Indicates that an entity holds or has been awarded a specific academic 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa72f2881908479049dd8d181a4 |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.