Triple
T2983933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaufort Gyre |
E80575
|
entity |
| Predicate | associatedCurrent |
P44465
|
FINISHED |
| Object | Beaufort Sea surface circulation |
—
|
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: Beaufort Sea surface circulation | Statement: [Beaufort Gyre, associatedCurrent, Beaufort Sea surface circulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCurrent Context triple: [Beaufort Gyre, associatedCurrent, Beaufort Sea surface circulation]
-
A.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
B.
isCurrent
Indicates that something is presently valid, active, or up to date at the current point in time.
-
C.
associatedFort
Indicates that one entity is connected or linked to a particular fort, typically as its related or corresponding fortification.
-
D.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
E.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.