Triple
T29015834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Αδαμάντιος Κοραής |
E737303
|
entity |
| Predicate | εκπαίδευση |
P85893
|
FINISHED |
| Object | σπουδές ιατρικής στο Μονπελιέ |
—
|
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: σπουδές ιατρικής στο Μονπελιέ | Statement: [Αδαμάντιος Κοραής, εκπαίδευση, σπουδές ιατρικής στο Μονπελιέ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: εκπαίδευση Context triple: [Αδαμάντιος Κοραής, εκπαίδευση, σπουδές ιατρικής στο Μονπελιέ]
-
A.
освіта
chosen
Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
D.
educationCategory
Indicates the classification of an educational program, content, or activity into a specific type or category based on its subject, level, or purpose.
-
E.
commonEducation
Indicates that two or more entities share at least one educational experience in common, such as attending the same school, program, or course.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fe0772881909b1fbc2e28a1206a |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:45 a.m.