Triple
T29888344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estação Ecológica |
E759075
|
entity |
| Predicate | ecosystemsProtected |
P168217
|
FINISHED |
| Object | 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: forests | Statement: [Estação Ecológica, ecosystemsProtected, forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecosystemsProtected Context triple: [Estação Ecológica, ecosystemsProtected, forests]
-
A.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
-
B.
countryProtectedAreaFramework
Indicates that a country has an established legal or policy framework governing the designation, management, and protection of its protected areas.
-
C.
modernProtectedArea
Indicates that an area is designated and managed as a contemporary legally recognized protected area under modern conservation frameworks.
-
D.
biosphereReserveZone
Indicates that an area lies within a designated zone of a biosphere reserve, reflecting its specific conservation and land-use role within the reserve.
-
E.
federalProtectedArea
Indicates that an area is designated and managed as a protected area under federal jurisdiction or authority.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676fe75988190ae1bffb155a3c4e1 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:01 p.m.