Triple
T1587823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katmai National Park and Preserve |
E34104
|
entity |
| Predicate | wildernessArea |
P17283
|
FINISHED |
| Object | most of the park is designated wilderness |
—
|
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: most of the park is designated wilderness | Statement: [Katmai National Park and Preserve, wildernessArea, most of the park is designated wilderness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildernessArea Context triple: [Katmai National Park and Preserve, wildernessArea, most of the park is designated wilderness]
-
A.
designatedWilderness
chosen
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
-
B.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
-
C.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
D.
designatedAsWildlifeRefuge
Indicates that an area has been officially assigned the status and protections of a wildlife refuge.
-
E.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.