Triple
T605137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Bear Dunes National Lakeshore |
E11577
|
entity |
| Predicate | highestDuneHeight |
P210
|
FINISHED |
| Object | approximately 450 feet above Lake Michigan |
—
|
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: approximately 450 feet above Lake Michigan | Statement: [Sleeping Bear Dunes National Lakeshore, highestDuneHeight, approximately 450 feet above Lake Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestDuneHeight Context triple: [Sleeping Bear Dunes National Lakeshore, highestDuneHeight, approximately 450 feet above Lake Michigan]
-
A.
highestPoint
chosen
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
C.
highestPillarApproximateHeight
Indicates the estimated height value of the tallest pillar in a given context or structure.
-
D.
highestPointRegion
Indicates that one location is the highest point within a specified region.
-
E.
maximumHeightAboveSeafloor
Indicates the greatest vertical distance between an object or feature and the seafloor beneath it.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.