Triple
T33581870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palisades (Hudson River) |
E860168
|
entity |
| Predicate | erosionExposedBy |
P38602
|
FINISHED |
| Object | Hudson River and glacial activity |
—
|
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: Hudson River and glacial activity | Statement: [Palisades (Hudson River), erosionExposedBy, Hudson River and glacial activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erosionExposedBy Context triple: [Palisades (Hudson River), erosionExposedBy, Hudson River and glacial activity]
-
A.
hasErosionEffect
Indicates that one entity causes or exhibits an erosive impact or degradation effect on another entity or surface.
-
B.
hasErosionRole
Indicates that an entity participates in or contributes to an erosion process in a specified role or capacity.
-
C.
hasErosionFeature
chosen
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
D.
erosionRate
Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
-
E.
erosionConcern
Indicates concern that a location, structure, or resource is being or may be negatively affected by erosion.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f77130b0819081ce1fde64afeda2 |
completed | May 3, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.