Triple
T6580006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Guinea Coastal Undercurrent |
E157266
|
entity |
| Predicate | flowLayer |
P33998
|
FINISHED |
| Object | within the thermocline |
—
|
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: within the thermocline | Statement: [New Guinea Coastal Undercurrent, flowLayer, within the thermocline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowLayer Context triple: [New Guinea Coastal Undercurrent, flowLayer, within the thermocline]
-
A.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
B.
hasFlowLayer
chosen
Indicates that one entity possesses or is associated with a specific flow layer within a layered or stratified structure.
-
C.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
D.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
-
E.
flowsParallelTo
Indicates that one entity moves or extends in the same direction as another without intersecting it, maintaining a parallel course.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.