Triple
T36013185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolmogorov microscales |
E1041766
|
entity |
| Predicate | energyTransferProperty |
P162145
|
FINISHED |
| Object | receive energy from inertial subrange |
—
|
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: receive energy from inertial subrange | Statement: [Kolmogorov microscales, energyTransferProperty, receive energy from inertial subrange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyTransferProperty Context triple: [Kolmogorov microscales, energyTransferProperty, receive energy from inertial subrange]
-
A.
energyTransferMethod
Indicates the process or mechanism by which energy is transferred from one entity or system to another.
-
B.
energyTransportProcess
chosen
Indicates a process in which energy is transferred or moved from one location, system, or entity to another.
-
C.
thermalProperty
Indicates a relationship where an entity is associated with a characteristic describing its behavior or response with respect to temperature or heat.
-
D.
heatFlow
Indicates the transfer of thermal energy from one entity or region to another due to a temperature difference.
-
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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.