Triple
T14298744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ute Mountain volcanic plug |
E354505
|
entity |
| Predicate | erodedFrom |
P103214
|
FINISHED |
| Object | surrounding softer rock removed by erosion |
—
|
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: surrounding softer rock removed by erosion | Statement: [Ute Mountain volcanic plug, erodedFrom, surrounding softer rock removed by erosion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erodedFrom Context triple: [Ute Mountain volcanic plug, erodedFrom, surrounding softer rock removed by erosion]
-
A.
eroded
Indicates that a force or process has gradually worn away, diminished, or degraded something over time.
-
B.
erosionAgent
chosen
Indicates the natural force or process responsible for wearing away, transporting, or reshaping material from a surface.
-
C.
hasErosionFeature
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
D.
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.
-
E.
emergedFrom
Indicates that one entity originated, arose, or came forth from another entity or source.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717cfc948190ace5f1c91283b1c3 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.