Triple
T2983930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaufort Gyre |
E80575
|
entity |
| Predicate | typicalState |
P15442
|
FINISHED |
| Object | anticyclonic 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: anticyclonic circulation | Statement: [Beaufort Gyre, typicalState, anticyclonic circulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalState Context triple: [Beaufort Gyre, typicalState, anticyclonic circulation]
-
A.
standardState
Indicates that an entity is in its default, reference, or officially recognized condition or configuration under standard conditions.
-
B.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
C.
principalState
Indicates that an entity serves as the primary or main state associated with another entity or context.
-
D.
inState
Indicates that an entity is currently located within or belongs to a particular state or condition.
-
E.
typeOfState
chosen
Indicates that one state is a specific kind or category of another, more general state.
- 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_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. |
Created at: March 8, 2026, 2:59 p.m.