Triple
T1541584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CONAF |
E32877
|
entity |
| Predicate | typeOfProtectedAreasManaged |
P30175
|
FINISHED |
| Object | national parks |
—
|
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: national parks | Statement: [CONAF, typeOfProtectedAreasManaged, national parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfProtectedAreasManaged Context triple: [CONAF, typeOfProtectedAreasManaged, national parks]
-
A.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
B.
managesProtectedArea
Indicates that an entity has responsibility for overseeing, administering, and caring for a designated protected area.
-
C.
marineProtectedAreaManagingCountry
Indicates that a country is responsible for managing or overseeing a specific marine protected area.
-
D.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
-
E.
marineProtectedArea
Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93df847cc8190b6d011af33b34b40 |
completed | March 5, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.