Triple
T19940711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Δήλιον (στην Εύβοια) |
E479299
|
entity |
| Predicate | τύποςΙερού |
P137923
|
FINISHED |
| Object | ιερό απολλώνιας τριάδας |
—
|
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: ιερό απολλώνιας τριάδας | Statement: [Δήλιον (στην Εύβοια), τύποςΙερού, ιερό απολλώνιας τριάδας]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: τύποςΙερού Context triple: [Δήλιον (στην Εύβοια), τύποςΙερού, ιερό απολλώνιας τριάδας]
-
A.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
B.
typeInByzantineRite
Indicates that an entity is classified or designated as following the Byzantine Rite.
-
C.
Typer
Indicates that one entity serves as the type or classification for another entity.
-
D.
BenedictusType
Indicates that an entity is classified as a Benedictus, i.e., belonging to or exhibiting the defining characteristics of the Benedictus type.
-
E.
ייחוס
Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to another.
- 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_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. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.