Triple
T37836686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | დააჯილდოვეს |
P107
|
FINISHED |
| Object | საქართველოს ღირსების ორდენი |
—
|
NE NERFINISHED |
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: საქართველოს ღირსების ორდენი | Statement: [ლევან კობიაშვილი, დააჯილდოვეს, საქართველოს ღირსების ორდენი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: დააჯილდოვეს Context triple: [ლევან კობიაშვილი, დააჯილდოვეს, საქართველოს ღირსების ორდენი]
-
A.
ornement
Indicates that one entity serves as an ornament or decorative embellishment for another entity.
-
B.
הנצחה
Indicates a relationship where someone or something is commemorated or memorialized so that their memory, deeds, or significance are preserved over time.
-
C.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
awardedByDecreeOf
Indicates that something (such as a title, right, or benefit) is formally granted or conferred through an official decree or authoritative order.
-
E.
usuallyAwardedWith
Indicates that one entity is commonly given or conferred together with another entity as part of the same award or recognition.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.