Triple
T4439326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Atlantic Ocean floor |
E95729
|
entity |
| Predicate | hasBathymetryRange |
P34712
|
FINISHED |
| Object | approximately 3000 to 6000 meters water depth |
—
|
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: approximately 3000 to 6000 meters water depth | Statement: [Central Atlantic Ocean floor, hasBathymetryRange, approximately 3000 to 6000 meters water depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBathymetryRange Context triple: [Central Atlantic Ocean floor, hasBathymetryRange, approximately 3000 to 6000 meters water depth]
-
A.
hasBathymetricFeature
Indicates that one entity possesses, contains, or is associated with a specific underwater (seafloor) topographic feature.
-
B.
seaDepthRange
chosen
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
C.
bathymetryCharacter
Indicates the nature or distinguishing features of the underwater depth profile or seafloor topography in a given area.
-
D.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
E.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.