Triple
T19940713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Δήλιον (στην Εύβοια) |
E479299
|
entity |
| Predicate | έχειΧαρακτήρα |
P130711
|
FINISHED |
| Object | θρησκευτικός χώρος |
—
|
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: θρησκευτικός χώρος | Statement: [Δήλιον (στην Εύβοια), έχειΧαρακτήρα, θρησκευτικός χώρος]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχειΧαρακτήρα Context triple: [Δήλιον (στην Εύβοια), έχειΧαρακτήρα, θρησκευτικός χώρος]
-
A.
έχειΜεταγραφή
Indicates that an entity has been transferred or has undergone a transfer (e.g., between organizations, teams, or systems).
-
B.
έχειΡόλο
Indicates that an entity holds or performs a specific role in relation to another entity or context.
-
C.
έχει_ανδριάντα
Indicates that an entity has or is associated with a statue (typically of a person).
-
D.
έχειΕραστή
Indicates that someone has or is involved with a lover or romantic partner outside a primary relationship.
-
E.
έχειΚατηγοριοποιηθείΩς
chosen
Indicates that an entity has been classified or assigned to a specific category or type.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a1a8df4819094e84855465df6c0 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.