Triple
T17337474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbitkettle Hotsprings |
E420976
|
entity |
| Predicate | locatedInProtectedAreaIUCNCategory |
P32835
|
FINISHED |
| Object | II |
—
|
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: II | Statement: [Rabbitkettle Hotsprings, locatedInProtectedAreaIUCNCategory, II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInProtectedAreaIUCNCategory Context triple: [Rabbitkettle Hotsprings, locatedInProtectedAreaIUCNCategory, II]
-
A.
protectedAreaIUCNCategory
chosen
Indicates the specific IUCN management category assigned to a protected area, describing the type and level of its conservation protection.
-
B.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
C.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
D.
locatedInProtectedEcoregion
Indicates that an entity is situated within a designated protected ecological region or conservation area.
-
E.
partOfProtectedAreaNetwork
Indicates that an area is included within and contributes to a designated network of protected areas.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a12e1288190a81c30d6e1e9652f |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.