Triple
T893346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Ocean |
E19288
|
entity |
| Predicate | salinityAverage |
P2853
|
FINISHED |
| Object | about 35 practical salinity units |
—
|
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: about 35 practical salinity units | Statement: [World Ocean, salinityAverage, about 35 practical salinity units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salinityAverage Context triple: [World Ocean, salinityAverage, about 35 practical salinity units]
-
A.
salinity
chosen
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
B.
salinityGradient
Indicates a relationship where the salinity of a medium changes in magnitude across space or depth between two locations or regions.
-
C.
hasSalinityRange
Indicates the range of salinity values within which something (such as a substance, environment, or organism) is present, applicable, or able to function.
-
D.
hasHigherSalinityThan
Indicates that one entity has a greater concentration of dissolved salts than another entity.
-
E.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.