Triple
T18165956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Γεώργιος Καραϊσκάκης |
E434893
|
entity |
| Predicate | έχειΚατηγοριοποιηθείΩς |
P130711
|
FINISHED |
| Object | πρόσωπο της Ελληνικής Επανάστασης του 1821 |
—
|
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: πρόσωπο της Ελληνικής Επανάστασης του 1821 | Statement: [Γεώργιος Καραϊσκάκης, έχειΚατηγοριοποιηθείΩς, πρόσωπο της Ελληνικής Επανάστασης του 1821]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχειΚατηγοριοποιηθείΩς Context triple: [Γεώργιος Καραϊσκάκης, έχειΚατηγοριοποιηθείΩς, πρόσωπο της Ελληνικής Επανάστασης του 1821]
-
A.
έχειΜεταγραφή
Indicates that an entity has been transferred or has undergone a transfer (e.g., between organizations, teams, or systems).
-
B.
έχει_ανδριάντα
Indicates that an entity has or is associated with a statue (typically of a person).
-
C.
εκβάλλειΣτο
Indicates that one geographical feature (typically a river or stream) flows into and empties into another body of water.
-
D.
ανήκεΣεΚοινωνικήΟμάδα
Indicates that an entity was a member of or belonged to a particular social group.
-
E.
έχειΡόλο
Indicates that an entity holds or performs a specific role in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.