Triple
T24678875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლაგოდეხი |
E611067
|
entity |
| Predicate | ეკოტურიზმი |
P27612
|
FINISHED |
| Object | მნიშვნელოვანი დანიშნულების ადგილი |
—
|
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: მნიშვნელოვანი დანიშნულების ადგილი | Statement: [ლაგოდეხი, ეკოტურიზმი, მნიშვნელოვანი დანიშნულების ადგილი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ეკოტურიზმი Context triple: [ლაგოდეხი, ეკოტურიზმი, მნიშვნელოვანი დანიშნულების ადგილი]
-
A.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
B.
ecologicalSensitivity
Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
-
C.
محیط زیست
Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living conditions.
-
D.
tourismTheme
chosen
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
E.
biosphereReserveType
Indicates the specific classification or category of a biosphere reserve within a defined typology or management framework.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:08 a.m.