Triple
T7474010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropical Northwestern Atlantic |
E176582
|
entity |
| Predicate | hasTypicalSalinity |
P2853
|
FINISHED |
| Object | oceanic salinity levels |
—
|
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: oceanic salinity levels | Statement: [Tropical Northwestern Atlantic, hasTypicalSalinity, oceanic salinity levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSalinity Context triple: [Tropical Northwestern Atlantic, hasTypicalSalinity, oceanic salinity levels]
-
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.
hasSalinityIssue
Indicates that an entity is affected by or associated with a problem related to salinity levels.
-
C.
hasHigherSalinityThan
Indicates that one entity has a greater concentration of dissolved salts than another entity.
-
D.
salinity
chosen
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
E.
salinityPreference
Indicates the preferred range or level of salinity under which an entity most optimally exists, functions, or occurs.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f417fbb48190b134eaf1da1b4289 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.