Triple
T1058297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nansen Basin |
E22847
|
entity |
| Predicate | seafloorFeature |
P4015
|
FINISHED |
| Object | deep oceanic basin |
—
|
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 oceanic basin | Statement: [Nansen Basin, seafloorFeature, deep oceanic basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seafloorFeature Context triple: [Nansen Basin, seafloorFeature, deep oceanic basin]
-
A.
seafloorType
Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
-
B.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
C.
geologicalFormation
chosen
Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
-
D.
oceanBasin
Indicates a relationship where a geographic or marine feature is located within, or is part of, a specific ocean basin.
-
E.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4ba6e35ac8190802341c31bda0e3b |
completed | March 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69a4b7340a048190807363f19d17a58f |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.