Triple
T16006856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascadia back-arc region |
E388241
|
entity |
| Predicate | hasHeatFlow |
P23289
|
FINISHED |
| Object | elevated heat flow |
—
|
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: elevated heat flow | Statement: [Cascadia back-arc region, hasHeatFlow, elevated heat flow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeatFlow Context triple: [Cascadia back-arc region, hasHeatFlow, elevated heat flow]
-
A.
heatFlow
chosen
Indicates the transfer of thermal energy from one entity or region to another due to a temperature difference.
-
B.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
-
C.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
D.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
E.
heatTransferMethod
Indicates the mechanism or process by which heat is transferred from one entity or system to another.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.