Triple
T29004882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Valley |
E736400
|
entity |
| Predicate | nearbyProtectedAreaInstanceOf |
P67111
|
FINISHED |
| Object | provincially significant forest |
—
|
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: provincially significant forest | Statement: [Happy Valley, nearbyProtectedAreaInstanceOf, provincially significant forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyProtectedAreaInstanceOf Context triple: [Happy Valley, nearbyProtectedAreaInstanceOf, provincially significant forest]
-
A.
hasProtectedAreasNearby
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
B.
nearestMajorProtectedArea
Indicates the closest significant legally protected natural area to a given location or entity.
-
C.
nearbyProtectedSite
chosen
Indicates that one entity is located close to a protected site, such as a reserve, park, or conservation area.
-
D.
isInlandWaterProtectedAreaNearby
Indicates that there is a protected inland water area located in close proximity to the referenced entity.
-
E.
hasNearbyProtectedAreaManagingOrganization
Indicates that an entity has a managing organization responsible for a protected area located nearby.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 28, 2026, 9:37 a.m.