Triple
T19008533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardigan–Sunapee region conservation lands |
E465154
|
entity |
| Predicate | hasRecreationValue |
P134103
|
FINISHED |
| Object | regional outdoor destination |
—
|
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: regional outdoor destination | Statement: [Cardigan–Sunapee region conservation lands, hasRecreationValue, regional outdoor destination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecreationValue Context triple: [Cardigan–Sunapee region conservation lands, hasRecreationValue, regional outdoor destination]
-
A.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
B.
hasRecreationPurpose
Indicates that something is used or intended to be used for recreational or leisure activities.
-
C.
hasRecreationSection
Indicates that an entity includes or is associated with a designated recreation section or recreational area.
-
D.
hasRecreationClassification
Indicates that an entity is assigned a specific type or category of recreational use or activity.
-
E.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
- F. None of above. chosen
Provenance (4 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a623c481908d22c9bfad9e2939 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.