Triple
T5853650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Greenland Current |
E130097
|
entity |
| Predicate | waterSalinityCharacteristic |
P2853
|
FINISHED |
| Object | saline |
—
|
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: saline | Statement: [West Greenland Current, waterSalinityCharacteristic, saline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSalinityCharacteristic Context triple: [West Greenland Current, waterSalinityCharacteristic, saline]
-
A.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
B.
hasSalinityRange
Indicates the range of salinity values within which something (such as a substance, environment, or organism) is present, applicable, or able to function.
-
C.
salinityPreference
Indicates the preferred range or level of salinity under which an entity most optimally exists, functions, or occurs.
-
D.
salinity
chosen
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
E.
hasSalinityIssue
Indicates that an entity is affected by or associated with a problem related to salinity levels.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.