Triple
T3980538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Παλαιά Ανάκτορα |
E85744
|
entity |
| Predicate | χρησιμοποιείται ως |
P2506
|
FINISHED |
| Object | χώρος κοινοβουλευτικών συνεδριάσεων |
—
|
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: χώρος κοινοβουλευτικών συνεδριάσεων | Statement: [Παλαιά Ανάκτορα, χρησιμοποιείται ως, χώρος κοινοβουλευτικών συνεδριάσεων]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: χρησιμοποιείται ως Context triple: [Παλαιά Ανάκτορα, χρησιμοποιείται ως, χώρος κοινοβουλευτικών συνεδριάσεων]
-
A.
isUsedAs
chosen
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
isAlsoUsedAs
Indicates that something serves an additional function or role beyond its primary one.
-
D.
partOfUse
Indicates that something functions as a component or constituent within the use or application of something else.
-
E.
worksAs
Indicates that an entity performs the role, job, or occupation specified by another entity.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.