Triple
T1533951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moose River Plains Wild Forest |
E32507
|
entity |
| Predicate | campingType |
P19521
|
FINISHED |
| Object | first-come, first-served primitive campsites |
—
|
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: first-come, first-served primitive campsites | Statement: [Moose River Plains Wild Forest, campingType, first-come, first-served primitive campsites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campingType Context triple: [Moose River Plains Wild Forest, campingType, first-come, first-served primitive campsites]
-
A.
campCategory
chosen
Indicates the classification or type of camp to which an entity belongs (e.g., by purpose, style, or characteristics).
-
B.
trainingCampSite
Indicates that a location serves as the site where training camps are held or conducted.
-
C.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
D.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
E.
designatedWilderness
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.