Triple
T12730188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carbon River |
E304212
|
entity |
| Predicate | parkEntranceType |
P35280
|
FINISHED |
| Object | northwest entrance to Mount Rainier National Park |
—
|
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: northwest entrance to Mount Rainier National Park | Statement: [Carbon River, parkEntranceType, northwest entrance to Mount Rainier National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkEntranceType Context triple: [Carbon River, parkEntranceType, northwest entrance to Mount Rainier National Park]
-
A.
parkEntranceArea
chosen
Indicates the area that serves as an entrance or access point to a park.
-
B.
parkEntranceStation
Indicates that a location functions as an entrance station or access point for a park.
-
C.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
D.
parkingType
Indicates the specific kind or category of parking arrangement associated with an entity (e.g., street, garage, lot, reserved).
-
E.
parkSectionOpening
Indicates that a specific section of a park is opening or becoming available for use, typically at a particular time or under certain conditions.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:25 p.m.