Triple
T38324576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აკაკი წერეთლის ძეგლი თბილისში |
E1036748
|
entity |
| Predicate | მიძღვნილია |
P188569
|
FINISHED |
| Object | აკაკი წერეთელი |
—
|
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: აკაკი წერეთელი | Statement: [აკაკი წერეთლის ძეგლი თბილისში, მიძღვნილია, აკაკი წერეთელი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: მიძღვნილია Context triple: [აკაკი წერეთლის ძეგლი თბილისში, მიძღვნილია, აკაკი წერეთელი]
-
A.
მეუღლე
Indicates a spousal relationship between two people, where each is the legally or socially recognized husband or wife of the other.
-
B.
გვარი
Indicates a relationship where one entity is the family name or surname of another entity.
-
C.
מזוהה עם
Indicates that one entity is identified with, or recognized as being the same as or equivalent to, another entity.
-
D.
הנצחה
chosen
Indicates a relationship where someone or something is commemorated or memorialized so that their memory, deeds, or significance are preserved over time.
-
E.
Mawtini
Indicates a relationship of national belonging or patriotic connection, often expressing devotion or attachment to one’s homeland.
- 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.