Triple
T2213892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kii Channel |
E50977
|
entity |
| Predicate | hasWaterSalinity |
P2853
|
FINISHED |
| Object | oceanic saltwater |
—
|
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 saltwater | Statement: [Kii Channel, hasWaterSalinity, oceanic saltwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterSalinity Context triple: [Kii Channel, hasWaterSalinity, oceanic saltwater]
-
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.
salinityPreference
Indicates the preferred range or level of salinity under which an entity most optimally exists, functions, or occurs.
-
E.
waterContains
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.