Triple
T21029283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Θήβα |
E518021
|
entity |
| Predicate | θρησκευτική_υπαγωγή |
P45
|
FINISHED |
| Object | Ορθόδοξη Εκκλησία της Ελλάδος |
—
|
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 Εκκλησία της Ελλάδος | Statement: [Θήβα, θρησκευτική_υπαγωγή, Ορθόδοξη Εκκλησία της Ελλάδος]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: θρησκευτική_υπαγωγή Context triple: [Θήβα, θρησκευτική_υπαγωγή, Ορθόδοξη Εκκλησία της Ελλάδος]
-
A.
religiousAffiliation
chosen
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
C.
officialReligion
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
-
D.
stosunekDoReligii
Indicates a person's attitude, stance, or relationship toward religion.
-
E.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.