Triple
T26880930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Creek |
E676890
|
entity |
| Predicate | hasErosionRole |
P161977
|
FINISHED |
| Object | contributed to formation of Natural Bridge |
—
|
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: contributed to formation of Natural Bridge | Statement: [Cedar Creek, hasErosionRole, contributed to formation of Natural Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasErosionRole Context triple: [Cedar Creek, hasErosionRole, contributed to formation of Natural Bridge]
-
A.
hasErosionEffect
Indicates that one entity causes or exhibits an erosive impact or degradation effect on another entity or surface.
-
B.
hasErosionFeature
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
C.
hasErosionalState
Indicates the current degree or condition of erosion affecting an entity’s surface or structure.
-
D.
erosionRate
Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
-
E.
erosionResistance
Indicates how strongly one entity can withstand or prevent being worn away, degraded, or removed by erosive forces caused by another entity or the environment.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fd5442081908ca677a9c81dcb3f |
completed | May 2, 2026, 4:01 p.m. |
Created at: April 27, 2026, 5:39 a.m.