Triple
T29015862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Αδαμάντιος Κοραής |
E737303
|
entity |
| Predicate | έχει δώσει το όνομά του σε |
P94429
|
FINISHED |
| Object | βιβλιοθήκες στην Ελλάδα |
—
|
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: βιβλιοθήκες στην Ελλάδα | Statement: [Αδαμάντιος Κοραής, έχει δώσει το όνομά του σε, βιβλιοθήκες στην Ελλάδα]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχει δώσει το όνομά του σε Context triple: [Αδαμάντιος Κοραής, έχει δώσει το όνομά του σε, βιβλιοθήκες στην Ελλάδα]
-
A.
hasNameGivenTo
chosen
Indicates that one entity is the name that has been assigned or given to another entity.
-
B.
hasTheoremNamedAfter
Indicates that a theorem is named in honor of or after a particular person or entity.
-
C.
influencedNameOf
Indicates that one entity has affected or shaped the naming or choice of name of another entity.
-
D.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
E.
hasAwardNamedAfter
Indicates that an entity has an award that is named in honor of another entity.
- 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.