Triple
T19016694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jendouba Governorate |
E465368
|
entity |
| Predicate | hasProtectedArea |
P855
|
FINISHED |
| Object | Khroumirie forest region |
—
|
NE NERFINISHED |
How this triple was built (3 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: Khroumirie forest region | Statement: [Jendouba Governorate, hasProtectedArea, Khroumirie forest region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khroumirie forest region Context triple: [Jendouba Governorate, hasProtectedArea, Khroumirie forest region]
-
A.
Belavezha Forest
Belavezha Forest, also known as Białowieża Forest, is one of Europe’s last and largest remaining primeval woodlands, straddling the border of Poland and Belarus and renowned for its ancient trees and population of European bison.
-
B.
Karelian forests
Karelian forests are vast, boreal woodlands in the Karelia region of northwestern Russia and eastern Finland, known for their dense coniferous trees, lakes, and relatively untouched natural landscapes.
-
C.
Krasnaya Presnya area
Krasnaya Presnya area is a historic central district of Moscow known for its revolutionary heritage, cultural institutions, and proximity to major city landmarks.
-
D.
Bryansk forests
Bryansk forests are a vast woodland region in western Russia known historically as a major center of partisan resistance during World War II.
-
E.
Kurpie Forest
Kurpie Forest is a historic and sparsely populated forest region in northeastern Poland, known for its distinctive folk culture, traditional wooden architecture, and rich natural landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khroumirie forest region Target entity description: The Khroumirie forest region is a mountainous, densely wooded area in northwestern Tunisia known for its rich biodiversity, high rainfall, and extensive cork oak and pine forests.
-
A.
Belavezha Forest
Belavezha Forest, also known as Białowieża Forest, is one of Europe’s last and largest remaining primeval woodlands, straddling the border of Poland and Belarus and renowned for its ancient trees and population of European bison.
-
B.
Karelian forests
Karelian forests are vast, boreal woodlands in the Karelia region of northwestern Russia and eastern Finland, known for their dense coniferous trees, lakes, and relatively untouched natural landscapes.
-
C.
Krasnaya Presnya area
Krasnaya Presnya area is a historic central district of Moscow known for its revolutionary heritage, cultural institutions, and proximity to major city landmarks.
-
D.
Bryansk forests
Bryansk forests are a vast woodland region in western Russia known historically as a major center of partisan resistance during World War II.
-
E.
Kurpie Forest
Kurpie Forest is a historic and sparsely populated forest region in northeastern Poland, known for its distinctive folk culture, traditional wooden architecture, and rich natural landscapes.
- F. None of above. chosen
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6db04fc819094709f223e30a526 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.