Triple
T19310187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricketts Glen State Park |
E482942
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Lake Jean |
—
|
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: Lake Jean | Statement: [Ricketts Glen State Park, hasBodyOfWater, Lake Jean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Jean Context triple: [Ricketts Glen State Park, hasBodyOfWater, Lake Jean]
-
A.
Lake Jean
chosen
Lake Jean is a scenic recreational lake in northeastern Pennsylvania known for boating, fishing, and serving as a central attraction within Ricketts Glen State Park.
-
B.
Lake Alpine
Lake Alpine is a scenic high-elevation reservoir in the Sierra Nevada known for fishing, boating, and outdoor recreation.
-
C.
Lake Estes
Lake Estes is a scenic reservoir in Estes Park, Colorado, popular for fishing, boating, and views of the surrounding Rocky Mountains.
-
D.
Lake Isabel
Lake Isabel is a scenic mountain reservoir and recreation area in southern Colorado known for fishing, hiking, and camping.
-
E.
Vail Lake
Vail Lake is a large man-made reservoir and recreation area in Riverside County, California, popular for camping, fishing, and outdoor activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cc62e08190b5ba5dfc44efdc5c |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.