Triple
T5208612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Trench |
E117571
|
entity |
| Predicate | bathymetryType |
P2048
|
FINISHED |
| Object | narrow and deep channel |
—
|
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: narrow and deep channel | Statement: [Norwegian Trench, bathymetryType, narrow and deep channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bathymetryType Context triple: [Norwegian Trench, bathymetryType, narrow and deep channel]
-
A.
hasBathymetricFeature
Indicates that one entity possesses, contains, or is associated with a specific underwater (seafloor) topographic feature.
-
B.
bathymetryCharacter
chosen
Indicates the nature or distinguishing features of the underwater depth profile or seafloor topography in a given area.
-
C.
seafloorType
Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
-
D.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
E.
oceanBasinType
Indicates the classification of an ocean basin according to its type or geomorphological category.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.