Triple
T38416326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devils Garden Campground |
E901609
|
entity |
| Predicate | hasApproximateNumberOfCampsites |
P35390
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Devils Garden Campground, hasApproximateNumberOfCampsites, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfCampsites Context triple: [Devils Garden Campground, hasApproximateNumberOfCampsites, 50]
-
A.
hasNumberOfCampsites
chosen
Indicates the specific quantity of campsites associated with a given place, facility, or area.
-
B.
hasCampSites
Indicates that one entity provides, contains, or is associated with one or more designated camping sites for use.
-
C.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
D.
trainingCampSite
Indicates that a location serves as the site where training camps are held or conducted.
-
E.
hasCampingOption
Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: May 3, 2026, 4:31 p.m.