Triple
T111022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan de Fuca Plate |
E2247
|
entity |
| Predicate | drives |
P7364
|
FINISHED |
| Object | Cascadia volcanic arc 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: Cascadia volcanic arc activity | Statement: [Juan de Fuca Plate, drives, Cascadia volcanic arc activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drives Context triple: [Juan de Fuca Plate, drives, Cascadia volcanic arc activity]
-
A.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
B.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
C.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
D.
transportation
Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
-
E.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258b30f6c8190be2181f30c40e04d |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.