Triple
T4634351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aepyceros melampus |
E101490
|
entity |
| Predicate | foundInProtectedAreaType |
P40017
|
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: [Aepyceros melampus, foundInProtectedAreaType, national parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundInProtectedAreaType Context triple: [Aepyceros melampus, foundInProtectedAreaType, national parks]
-
A.
situatedInProtectedArea
chosen
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
B.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
C.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
-
D.
typeOfProtectedAreasManaged
Indicates the specific categories or kinds of protected areas that an entity is responsible for managing.
-
E.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a5ec8108190aeb1147a67bff057 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.