Triple
T6838109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Hillsborough National Park |
E157499
|
entity |
| Predicate | offersCamping |
P7502
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cape Hillsborough National Park, offersCamping, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCamping Context triple: [Cape Hillsborough National Park, offersCamping, yes]
-
A.
trainingCampSite
Indicates that a location serves as the site where training camps are held or conducted.
-
B.
hasCampingPolicy
Indicates that an entity specifies rules, restrictions, or guidelines regarding camping activities on its premises or within its jurisdiction.
-
C.
hasCampground
chosen
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
D.
offersTours
Indicates that one entity provides or makes available guided tours or tour services to another entity.
-
E.
hasNumberOfCampsites
Indicates the specific quantity of campsites associated with a given place, facility, or 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67db4008190b86b497bf6f0c73a |
completed | March 27, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.