Triple
T32497104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loyalty Basin |
E830555
|
entity |
| Predicate | isMarineFeatureType |
P174510
|
FINISHED |
| Object | bathymetric depression |
—
|
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: bathymetric depression | Statement: [Loyalty Basin, isMarineFeatureType, bathymetric depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarineFeatureType Context triple: [Loyalty Basin, isMarineFeatureType, bathymetric depression]
-
A.
hasMaritimeFeature
Indicates that one entity possesses, contains, or is characterized by a maritime-related feature such as a sea, coast, harbor, or other oceanic element.
-
B.
hasNearbyMarineFeature
Indicates that one entity is located close to a marine geographic feature associated with the other entity.
-
C.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
-
D.
isMaritimeRegion
Indicates that a region is primarily associated with the sea or ocean, such as being coastal, oceanic, or otherwise defined by maritime characteristics or activities.
-
E.
isNaturalFeature
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
- F. None of above. chosen
Provenance (4 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c41096848190aaad53c4f6255d57 |
completed | May 3, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 12:59 a.m.