Triple
T25506788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen Bilimleri Enstitüsü |
E639264
|
entity |
| Predicate | typicalDegreeConferredThrough |
P180358
|
FINISHED |
| Object | Master of Science |
—
|
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: Master of Science | Statement: [Fen Bilimleri Enstitüsü, typicalDegreeConferredThrough, Master of Science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDegreeConferredThrough Context triple: [Fen Bilimleri Enstitüsü, typicalDegreeConferredThrough, Master of Science]
-
A.
typicalDegreeName
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
-
B.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
C.
typicallyConferredUpon
Indicates that something is most commonly or customarily granted, awarded, or bestowed upon a particular type of entity.
-
D.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
E.
grantsDegreeLevel
chosen
Indicates that an institution or program confers a specific academic degree level (such as bachelor’s, master’s, or doctorate) upon completion.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 21, 2026, 2:47 p.m.