Triple
T18165933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Γεώργιος Καραϊσκάκης |
E434893
|
entity |
| Predicate | βαθμός |
P112328
|
FINISHED |
| Object | στρατηγός |
—
|
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: στρατηγός | Statement: [Γεώργιος Καραϊσκάκης, βαθμός, στρατηγός]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: βαθμός Context triple: [Γεώργιος Καραϊσκάκης, βαθμός, στρατηγός]
-
A.
niveau
chosen
Indicates a relationship where an entity is associated with a particular level, degree, or stage within a scale, hierarchy, or progression.
-
B.
имеетСтепень
Indicates that one entity possesses or has been awarded a certain academic or professional degree in relation to another entity.
-
C.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
-
D.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
E.
gradeIn
Indicates that an entity has a particular grade or score within a specified course, assignment, or evaluation context.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec71b7881908d123d0cea3adf1f |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.