Triple
T3933451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper St. Regis Lake |
E90850
|
entity |
| Predicate | recreationManagedWithin |
P18323
|
FINISHED |
| Object | Adirondack Park regulations |
—
|
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: Adirondack Park regulations | Statement: [Upper St. Regis Lake, recreationManagedWithin, Adirondack Park regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recreationManagedWithin Context triple: [Upper St. Regis Lake, recreationManagedWithin, Adirondack Park regulations]
-
A.
hasRecreationalManagement
Indicates that an entity is responsible for overseeing, organizing, or providing recreational activities, facilities, or services for another entity or area.
-
B.
recreationRegulation
chosen
Indicates rules, restrictions, or guidelines governing recreational activities or leisure use of a place or resource.
-
C.
hasRecreationClassification
Indicates that an entity is assigned a specific type or category of recreational use or activity.
-
D.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
E.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcab1808190bf653f29062cdddb |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.