Triple
T29933673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermelo |
E760294
|
entity |
| Predicate | hasProtectedNatureNearby |
P96189
|
FINISHED |
| Object | Veluwe nature reserves |
—
|
NE NERFINISHED |
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: Veluwe nature reserves | Statement: [Ermelo, hasProtectedNatureNearby, Veluwe nature reserves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectedNatureNearby Context triple: [Ermelo, hasProtectedNatureNearby, Veluwe nature reserves]
-
A.
hasProtectedAreasNearby
chosen
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
B.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
-
C.
hasNaturalProtection
Indicates that an entity is safeguarded by inherent or environmental protective features (such as terrain, vegetation, or natural barriers) rather than by artificial defenses.
-
D.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
E.
hasProtectedSpecies
Indicates that the subject contains, supports, or is associated with one or more species that are legally or formally designated as protected.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: April 29, 2026, 6:18 p.m.