Triple
T8445907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean Outflow Water |
E199675
|
entity |
| Predicate | hasApproximateSalinity |
P2853
|
FINISHED |
| Object | ~38.4 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: ~38.4 practical salinity units | Statement: [Mediterranean Outflow Water, hasApproximateSalinity, ~38.4 practical salinity units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateSalinity Context triple: [Mediterranean Outflow Water, hasApproximateSalinity, ~38.4 practical salinity units]
-
A.
hasSalinityRange
Indicates the range of salinity values within which something (such as a substance, environment, or organism) is present, applicable, or able to function.
-
B.
hasHigherSalinityThan
Indicates that one entity has a greater concentration of dissolved salts than another entity.
-
C.
salinity
chosen
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
D.
hasSalinityIssue
Indicates that an entity is affected by or associated with a problem related to salinity levels.
-
E.
salinityGradient
Indicates a relationship where the salinity of a medium changes in magnitude across space or depth between two locations or regions.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3152a3c819092efdeab718def7a |
completed | March 31, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:09 p.m.