Triple
T352157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil Current |
E7465
|
entity |
| Predicate | currentSystem |
P12139
|
FINISHED |
| Object | Atlantic western boundary current system |
—
|
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: Atlantic western boundary current system | Statement: [Brazil Current, currentSystem, Atlantic western boundary current system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentSystem Context triple: [Brazil Current, currentSystem, Atlantic western boundary current system]
-
A.
operatesSystem
Indicates that an entity actively controls, manages, or runs a particular system.
-
B.
operatingSystem
Indicates that one entity is the operating system running on, or used by, another entity.
-
C.
system
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
D.
primaryOperatingEnvironment
Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
-
E.
currentFrameworkBasedOn
Indicates that the current framework is derived from, built upon, or structured according to another underlying framework.
- F. None of above. chosen
Provenance (4 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7f1be88190964ddcbb6a05f021 |
completed | Feb. 28, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69a2e9571bd88190b6fcb16f21604720 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0a4c448190a8a179daa9b90645 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.