Triple
T26692782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ocquittunk |
E672932
|
entity |
| Predicate | hasCampingTypeNearby |
P79315
|
FINISHED |
| Object | tent camping |
—
|
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: tent camping | Statement: [Lake Ocquittunk, hasCampingTypeNearby, tent camping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampingTypeNearby Context triple: [Lake Ocquittunk, hasCampingTypeNearby, tent camping]
-
A.
hasCampingOption
Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
-
B.
nearbyCampground
chosen
Indicates that one location has a campground situated close to it in geographic proximity.
-
C.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
D.
hasCampingPolicy
Indicates that an entity specifies rules, restrictions, or guidelines regarding camping activities on its premises or within its jurisdiction.
-
E.
hasCampingStyle
Indicates that an entity is associated with a particular style or manner of camping.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 27, 2026, 3:27 a.m.