Triple
T25999061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen-Edebiyat Fakültesi |
E646567
|
entity |
| Predicate | kurumAmacı |
P102783
|
FINISHED |
| Object | fen bilimleri alanında eğitim vermek |
—
|
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: fen bilimleri alanında eğitim vermek | Statement: [Fen-Edebiyat Fakültesi, kurumAmacı, fen bilimleri alanında eğitim vermek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kurumAmacı Context triple: [Fen-Edebiyat Fakültesi, kurumAmacı, fen bilimleri alanında eğitim vermek]
-
A.
kurumOdağı
Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
-
B.
kurumTipi
Indicates the type or category of an institution or organization that an entity is associated with.
-
C.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
D.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
E.
educationGoal
chosen
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 8:58 a.m.