Triple
T36793249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Ridge region of the United States |
E909109
|
entity |
| Predicate | hasConservationAreas |
P96189
|
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: [Blue Ridge region of the United States, hasConservationAreas, national parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConservationAreas Context triple: [Blue Ridge region of the United States, hasConservationAreas, national parks]
-
A.
hasConservationLand
Indicates that an entity possesses, manages, or is associated with land designated for environmental or natural resource conservation.
-
B.
hasConservationFocusArea
Indicates that an entity is associated with a specific area or domain that is the focus of its conservation efforts or activities.
-
C.
hasConservationCorridor
Indicates that there exists a designated ecological or wildlife corridor connecting two areas to support species movement and habitat continuity.
-
D.
hasProtectedAreasNearby
chosen
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
E.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.