Triple
T133264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Ocean |
E2696
|
entity |
| Predicate | Antarctic Circumpolar CurrentSpeed |
P2126
|
FINISHED |
| Object | fastest major ocean current |
—
|
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: fastest major ocean current | Statement: [Southern Ocean, Antarctic Circumpolar CurrentSpeed, fastest major ocean current]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Antarctic Circumpolar CurrentSpeed Context triple: [Southern Ocean, Antarctic Circumpolar CurrentSpeed, fastest major ocean current]
-
A.
oceanCirculation
chosen
Indicates the movement and flow patterns of seawater within and between oceans, including currents, mixing, and large-scale circulation systems.
-
B.
oceanBasin
Indicates a relationship where a geographic or marine feature is located within, or is part of, a specific ocean basin.
-
C.
isDeepestOceanOnEarth
Indicates that the subject ocean holds the greatest maximum depth of all oceans on Earth.
-
D.
isLargestOceanOnEarth
Indicates that the subject is the ocean with the greatest surface area on Earth.
-
E.
oceanDrainageBasin
Indicates the ocean into which a river system or drainage basin ultimately discharges its water.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257871b8c8190868838837c0058d6 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.