Triple
T1226721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic Deep Water |
E26342
|
entity |
| Predicate | climateSensitivity |
P24730
|
FINISHED |
| Object | sensitive to changes in surface heat fluxes |
—
|
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: sensitive to changes in surface heat fluxes | Statement: [North Atlantic Deep Water, climateSensitivity, sensitive to changes in surface heat fluxes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateSensitivity Context triple: [North Atlantic Deep Water, climateSensitivity, sensitive to changes in surface heat fluxes]
-
A.
globalTemperatureDecreaseApproximate
Indicates an estimated or roughly measured reduction in global temperature over a specified period or under certain conditions.
-
B.
climate
Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
-
C.
globalTemperatureAnomaly
Indicates the deviation of the Earth's average temperature from a defined long-term baseline or reference period.
-
D.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
-
E.
hasGreenhouseEffect
Indicates that one entity causes or contributes to a greenhouse effect on another entity, typically by trapping heat through atmospheric or environmental mechanisms.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3b32a08190a36e96a3e51976eb |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.