Triple
T19393610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cromwell Current |
E485128
|
entity |
| Predicate | upwellingEffect |
P9309
|
FINISHED |
| Object | enhances upwelling near the Galápagos |
—
|
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: enhances upwelling near the Galápagos | Statement: [Cromwell Current, upwellingEffect, enhances upwelling near the Galápagos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upwellingEffect Context triple: [Cromwell Current, upwellingEffect, enhances upwelling near the Galápagos]
-
A.
upwellingBringsToSurface
Indicates that an upwelling process transports substances or materials from deeper layers up to the surface.
-
B.
oceanInfluence
Indicates how the presence, properties, or behavior of an ocean affects another entity, condition, or process.
-
C.
waterMassInfluence
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
-
D.
hasUpwellingCellNear
chosen
Indicates that one entity is located in proximity to another entity where an upwelling cell (an upward-moving water mass) occurs.
-
E.
lakeEffect
Indicates a weather phenomenon where a large lake modifies passing air masses, typically enhancing precipitation or altering local atmospheric conditions downwind of the lake.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b468dd88190acd82b4ee33bd39b |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.