Triple
T30418410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priest Lake |
E773822
|
entity |
| Predicate | stateParkAtShore |
P192710
|
FINISHED |
| Object | Priest Lake State Park |
—
|
NE NERFINISHED |
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: Priest Lake State Park | Statement: [Priest Lake, stateParkAtShore, Priest Lake State Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateParkAtShore Context triple: [Priest Lake, stateParkAtShore, Priest Lake State Park]
-
A.
isCoastalPark
Indicates that a park is located along or directly adjacent to a coastline.
-
B.
hasScenicShoreline
Indicates that something possesses a shoreline characterized by notable natural beauty or visually appealing scenery.
-
C.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
D.
isCoastalLandmarkOf
Indicates that a landmark is located on or very near the coast of a specified geographic area or body of water.
-
E.
shoreHas
Indicates that a shore possesses, contains, or is characterized by a particular feature, object, or attribute.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
| PDg | Predicate description generation | batch_69fd28379d2c8190903ba228ee1cc756 |
completed | May 8, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:05 p.m.