Triple
T38324564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | აკაკი წერეთლის მუზეუმი |
E1036747
|
entity |
| Predicate | ინახავს |
P190642
|
FINISHED |
| Object | აკაკი წერეთლის პირადი ნივთები |
—
|
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: აკაკი წერეთლის პირადი ნივთები | Statement: [აკაკი წერეთლის მუზეუმი, ინახავს, აკაკი წერეთლის პირადი ნივთები]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ინახავს Context triple: [აკაკი წერეთლის მუზეუმი, ინახავს, აკაკი წერეთლის პირადი ნივთები]
-
A.
הנצחה
Indicates a relationship where someone or something is commemorated or memorialized so that their memory, deeds, or significance are preserved over time.
-
B.
اعتنق
Indicates adopting or embracing a belief, religion, or doctrine as one’s own.
-
C.
ייחוס
Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to another.
-
D.
ენები
Indicates a relationship where one entity is associated with, uses, or is characterized by certain languages.
-
E.
გვარი
Indicates a relationship where one entity is the family name or surname of another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.