Triple
T32546360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Χερσόνησος του Άθω |
E831857
|
entity |
| Predicate | έχειΜοναστήρια |
P174916
|
FINISHED |
| Object | 20 κυρίαρχες ιερές μονές |
—
|
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: 20 κυρίαρχες ιερές μονές | Statement: [Χερσόνησος του Άθω, έχειΜοναστήρια, 20 κυρίαρχες ιερές μονές]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχειΜοναστήρια Context triple: [Χερσόνησος του Άθω, έχειΜοναστήρια, 20 κυρίαρχες ιερές μονές]
-
A.
monasteriesAre
Indicates that a subject is classified as, functions as, or is identified with monasteries.
-
B.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
C.
monasticResidence
Indicates that one entity serves as the place of residence for a monastic individual or community.
-
D.
sisterMonastery
Indicates a formal sister-monastery relationship between two monastic institutions, typically involving mutual support, affiliation, or shared spiritual ties.
-
E.
numberOfMonasteriesFounded
Indicates the total count of monasteries that a given entity has established or founded.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:02 a.m.