Triple
T32546356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Χερσόνησος του Άθω |
E831857
|
entity |
| Predicate | ανήκειΕκκλησιαστικάΣε |
P165577
|
FINISHED |
| Object | Οικουμενικό Πατριαρχείο Κωνσταντινουπόλεως |
—
|
NE NERFINISHED |
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: Οικουμενικό Πατριαρχείο Κωνσταντινουπόλεως | Statement: [Χερσόνησος του Άθω, ανήκειΕκκλησιαστικάΣε, Οικουμενικό Πατριαρχείο Κωνσταντινουπόλεως]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ανήκειΕκκλησιαστικάΣε Context triple: [Χερσόνησος του Άθω, ανήκειΕκκλησιαστικάΣε, Οικουμενικό Πατριαρχείο Κωνσταντινουπόλεως]
-
A.
ανήκεΣεΚοινωνικήΟμάδα
Indicates that an entity was a member of or belonged to a particular social group.
-
B.
έχειΚατηγοριοποιηθείΩς
Indicates that an entity has been classified or assigned to a specific category or type.
-
C.
συνδέεται_οδικά_με
Indicates that there is a road connection or roadway link between the two entities.
-
D.
υπόκειταιΣε
chosen
Indicates that one entity is subject to, governed by, or falls under the authority, rules, or influence of another entity.
-
E.
εκβάλλειΣτο
Indicates that one geographical feature (typically a river or stream) flows into and empties into another body of water.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5bfe55881909a20ef79180d19c4 |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.