Triple
T14572070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levantine Basin |
E341940
|
entity |
| Predicate | hasSeafloor |
P4263
|
FINISHED |
| Object | deep marine environment |
—
|
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: deep marine environment | Statement: [Levantine Basin, hasSeafloor, deep marine environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeafloor Context triple: [Levantine Basin, hasSeafloor, deep marine environment]
-
A.
seafloorType
chosen
Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
-
B.
hasSeamount
Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
-
C.
hasSeafloorAge
Indicates the age of a specified portion of the seafloor relative to a given time or reference point.
-
D.
hadInteriorSea
Indicates that a geographic region or landmass once contained a sea or large body of water within its interior.
-
E.
sideRestingOnSeafloor
Indicates that one side of an object is in direct contact with and supported by the seafloor.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:24 a.m.