Triple
T250797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSV Limiting Factor |
E5141
|
entity |
| Predicate | hasDiveProfile |
P2048
|
FINISHED |
| Object | vertical descent to trench floor |
—
|
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: vertical descent to trench floor | Statement: [DSV Limiting Factor, hasDiveProfile, vertical descent to trench floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiveProfile Context triple: [DSV Limiting Factor, hasDiveProfile, vertical descent to trench floor]
-
A.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
B.
hasPlume
Indicates that an entity possesses or exhibits a plume, such as a feathered tuft, spray, or column-like emission.
-
C.
bathymetryCharacter
chosen
Indicates the nature or distinguishing features of the underwater depth profile or seafloor topography in a given area.
-
D.
altitudeCapability
Indicates the maximum or typical altitude at which an entity can effectively operate or function.
-
E.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d38aba8819081d0958eb60ce27e |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.