Triple
T19568998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Borderland region |
E489659
|
entity |
| Predicate | seafloorDepthRange |
P34712
|
FINISHED |
| Object | shallow shelf to deep basins over 2000 meters |
—
|
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: shallow shelf to deep basins over 2000 meters | Statement: [California Borderland region, seafloorDepthRange, shallow shelf to deep basins over 2000 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seafloorDepthRange Context triple: [California Borderland region, seafloorDepthRange, shallow shelf to deep basins over 2000 meters]
-
A.
seaDepthRange
chosen
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
B.
deepestStationDepthMeters
Indicates the maximum depth, in meters, reached by any station associated with the subject.
-
C.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
D.
maximumDepthBelowSeaLevel
Indicates the greatest vertical distance an entity extends or reaches below sea level.
-
E.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f7a74e88190a58d5274050a7d32 |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.