Triple
T24678877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლაგოდეხი |
E611067
|
entity |
| Predicate | დაცული_ტერიტორიების_კატეგორია |
P5067
|
FINISHED |
| Object | ეროვნული პარკი |
—
|
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: ეროვნული პარკი | Statement: [ლაგოდეხი, დაცული_ტერიტორიების_კატეგორია, ეროვნული პარკი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: დაცული_ტერიტორიების_კატეგორია Context triple: [ლაგოდეხი, დაცული_ტერიტორიების_კატეგორია, ეროვნული პარკი]
-
A.
partOfProtectedAreaCategory
chosen
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
B.
entailsTerritorialDesignation
Indicates that one entity’s status, action, or condition necessarily results in or includes a specific territorial designation being applied or recognized.
-
C.
protectedAreaCountry
Indicates that a protected area is located within and legally falls under the jurisdiction of a specific country.
-
D.
partitionedTerritory
Indicates that a larger territory has been divided into distinct parts or regions, typically with defined boundaries or administrative separation.
-
E.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
- 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.