Triple
T34401195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassadaga, New York |
E882981
|
entity |
| Predicate | locatedInLandform |
—
|
GENERATED |
| Object | Allegheny Plateau |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInLandform Context triple: [Cassadaga, New York, locatedInLandform, Allegheny Plateau]
-
A.
locatedInGeographicFeature
chosen
Indicates that something is situated within or on a specific natural geographic feature (such as a mountain, river, valley, or lake).
-
B.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
C.
locatedOnPeak
Indicates that one entity is situated at or on the summit or highest point of another entity (a peak).
-
D.
situatedAmong
Indicates that an entity is located within or surrounded by multiple other entities in its immediate environment.
-
E.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
- F. None of above.
Provenance (1 batch)
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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.