Triple
T9930323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbell Plateau |
E192629
|
entity |
| Predicate | bathymetricFeature |
P2048
|
FINISHED |
| Object | broad shallow plateau |
—
|
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: broad shallow plateau | Statement: [Campbell Plateau, bathymetricFeature, broad shallow plateau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bathymetricFeature Context triple: [Campbell Plateau, bathymetricFeature, broad shallow plateau]
-
A.
hasBathymetricFeature
Indicates that one entity possesses, contains, or is associated with a specific underwater (seafloor) topographic feature.
-
B.
bathymetryCharacter
chosen
Indicates the nature or distinguishing features of the underwater depth profile or seafloor topography in a given area.
-
C.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
D.
depthRelativeToSeabed
Indicates the vertical distance of something measured relative to the seabed, typically how far above or below the seabed it is located.
-
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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b4196881909a004091a4203c45 |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.