Triple
T38324586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აკაკი წერეთლის ძეგლი თბილისში |
E1036748
|
entity |
| Predicate | ენობრივი ვერსია |
P120046
|
FINISHED |
| Object | ქართულენოვანი სახელწოდება |
—
|
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: ქართულენოვანი სახელწოდება | Statement: [აკაკი წერეთლის ძეგლი თბილისში, ენობრივი ვერსია, ქართულენოვანი სახელწოდება]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ენობრივი ვერსია Context triple: [აკაკი წერეთლის ძეგლი თბილისში, ენობრივი ვერსია, ქართულენოვანი სახელწოდება]
-
A.
ენები
chosen
Indicates a relationship where one entity is associated with, uses, or is characterized by certain languages.
-
B.
نوع النهاية
Indicates the type or nature of an ending or conclusion associated with an entity or event.
-
C.
earlyVersion
Indicates that one entity is an earlier or preliminary version of another entity in a version sequence.
-
D.
poweredVersionOf
Indicates that one entity is a more powerful, enhanced, or upgraded version of another entity.
-
E.
מאפיין מסורתי
Indicates a traditional characteristic or attribute that is typically associated with something based on long-standing customs or heritage.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.