Triple
T17612263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Γέεννα |
E428990
|
entity |
| Predicate | έχειΣημασίαΣε |
P41499
|
FINISHED |
| Object | ορθόδοξη θεολογία |
—
|
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: ορθόδοξη θεολογία | Statement: [Γέεννα, έχειΣημασίαΣε, ορθόδοξη θεολογία]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχειΣημασίαΣε Context triple: [Γέεννα, έχειΣημασίαΣε, ορθόδοξη θεολογία]
-
A.
έχει_ανδριάντα
Indicates that an entity has or is associated with a statue (typically of a person).
-
B.
hasParticularSignificanceFor
chosen
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
C.
εκβάλλειΣτο
Indicates that one geographical feature (typically a river or stream) flows into and empties into another body of water.
-
D.
εκβάλλειΚοντάΣε
Indicates that one entity discharges, empties, or flows out in close proximity to another entity.
-
E.
significanceForGreece
Indicates that something holds particular importance, impact, or relevance specifically in the context of Greece.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2dfa688190a0b9b396bb6133cc |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.