Triple
T8358504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labrador Sea Water |
E196739
|
entity |
| Predicate | carbonCycleRole |
P38725
|
FINISHED |
| Object | important sink for anthropogenic CO₂ |
—
|
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: important sink for anthropogenic CO₂ | Statement: [Labrador Sea Water, carbonCycleRole, important sink for anthropogenic CO₂]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carbonCycleRole Context triple: [Labrador Sea Water, carbonCycleRole, important sink for anthropogenic CO₂]
-
A.
roleInBiogeochemistry
chosen
Indicates the function or influence an entity has within biogeochemical cycles and processes.
-
B.
climaticRole
Indicates the role or influence that something has on climate patterns or climatic conditions.
-
C.
carbonRole
Indicates the functional role or involvement that an entity has in relation to carbon within a given process, system, or context.
-
D.
roleInEcosystem
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
E.
biogeographicRole
Indicates the ecological or distributional role an entity plays within a particular biogeographic context or region.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb806fa5c88190b23b6b3ee9d6ec6d |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.