Triple
T33746710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyrtki Jets |
E864719
|
entity |
| Predicate | dynamicalBalance |
P78271
|
FINISHED |
| Object | equatorial Kelvin wave dynamics |
—
|
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: equatorial Kelvin wave dynamics | Statement: [Wyrtki Jets, dynamicalBalance, equatorial Kelvin wave dynamics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynamicalBalance Context triple: [Wyrtki Jets, dynamicalBalance, equatorial Kelvin wave dynamics]
-
A.
forceBalance
chosen
Indicates that the net forces acting on an entity or system are in equilibrium, resulting in no overall acceleration.
-
B.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
C.
typicalDynamics
Indicates the usual or characteristic way in which a system, process, or interaction evolves or behaves over time.
-
D.
requiresBalancing
Indicates that one entity or action depends on being offset, equalized, or counteracted by another to maintain a required equilibrium or fairness.
-
E.
hasMassBalance
Indicates that one entity maintains or specifies the conservation and accounting of mass flows relative to another entity or system.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb61da448190b3438658ffb344f6 |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96ea0c08190902a3d0e1f263e8c |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.