Triple
T38324560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აკაკი წერეთლის მუზეუმი |
E1036747
|
entity |
| Predicate | დედაენა |
P120046
|
FINISHED |
| Object | ქართული |
—
|
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: ქართული | Statement: [აკაკი წერეთლის მუზეუმი, დედაენა, ქართული]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: დედაენა Context triple: [აკაკი წერეთლის მუზეუმი, დედაენა, ქართული]
-
A.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
B.
motherLoverOf
Indicates a person who is romantically or sexually involved with someone’s mother.
-
C.
ენები
chosen
Indicates a relationship where one entity is associated with, uses, or is characterized by certain languages.
-
D.
მეუღლე
Indicates a spousal relationship between two people, where each is the legally or socially recognized husband or wife of the other.
-
E.
née
Indicates that a person’s original birth name, typically a maiden name, is being specified before it was changed (for example, by marriage).
- 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.