Triple
T9163214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxbury, Vermont |
E219879
|
entity |
| Predicate | outdoorRecreationType |
P59252
|
FINISHED |
| Object | backcountry recreation |
—
|
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: backcountry recreation | Statement: [Roxbury, Vermont, outdoorRecreationType, backcountry recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outdoorRecreationType Context triple: [Roxbury, Vermont, outdoorRecreationType, backcountry recreation]
-
A.
outdoorActivityType
chosen
Indicates the specific kind of outdoor activity associated with an entity or event.
-
B.
campCategory
Indicates the classification or type of camp to which an entity belongs (e.g., by purpose, style, or characteristics).
-
C.
outdoorSection
Indicates that one entity is a section, area, or portion that is located outdoors or in an open-air environment relative to another entity.
-
D.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
E.
climbingCategory
Indicates the classification level or difficulty grade assigned to a climbing route, problem, or activity.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2d6628819084ac4734650fe912 |
completed | April 1, 2026, 5:16 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.