Triple
T22420229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Forest Conservation of Sri Lanka |
E554224
|
entity |
| Predicate | typeOfForestAreasManaged |
P30175
|
FINISHED |
| Object | reserved forests |
—
|
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: reserved forests | Statement: [Department of Forest Conservation of Sri Lanka, typeOfForestAreasManaged, reserved forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfForestAreasManaged Context triple: [Department of Forest Conservation of Sri Lanka, typeOfForestAreasManaged, reserved forests]
-
A.
typeOfProtectedAreasManaged
chosen
Indicates the specific categories or kinds of protected areas that an entity is responsible for managing.
-
B.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
C.
notableForestAreas
Indicates that there exists a forested region associated with the subject that is recognized as significant or noteworthy in some context.
-
D.
hasForestType
Indicates that an area or location is characterized by a specific type or classification of forest.
-
E.
forestDistrict
Indicates that one entity functions as the forest district or forest management administrative unit responsible for the other entity.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.