Triple
T2485659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic subtropical gyre |
E55919
|
entity |
| Predicate | seaSurfaceHeight |
P8806
|
FINISHED |
| Object | elevated in gyre center |
—
|
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: elevated in gyre center | Statement: [North Atlantic subtropical gyre, seaSurfaceHeight, elevated in gyre center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaSurfaceHeight Context triple: [North Atlantic subtropical gyre, seaSurfaceHeight, elevated in gyre center]
-
A.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
B.
seaLevelCharacteristic
chosen
Indicates a characteristic, property, or attribute specifically related to sea level.
-
C.
densityRelativeToSurfaceWater
Indicates how dense something is compared to the density of surface (fresh) water, typically expressed as a ratio or relative value.
-
D.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
E.
seaDepthRange
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.