Triple
T430300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Current |
E9696
|
entity |
| Predicate | isKeyFor |
P10082
|
FINISHED |
| Object | understanding Gulf Stream dynamics |
—
|
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: understanding Gulf Stream dynamics | Statement: [Florida Current, isKeyFor, understanding Gulf Stream dynamics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyFor Context triple: [Florida Current, isKeyFor, understanding Gulf Stream dynamics]
-
A.
isKeyRegionFor
chosen
Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
-
B.
hasKeyType
Indicates that an entity possesses or is associated with a specific category or type of key.
-
C.
hasKeyWork
Indicates that an entity possesses or is associated with a primary or central work (such as a main publication, artwork, or project) that is especially representative or important.
-
D.
hasKeyFigure
Indicates that an entity includes, involves, or is characterized by an important or central person relevant to it.
-
E.
keyIndex
Indicates the position or numerical index assigned to a specific key within an ordered set or collection of keys.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeedf68c81908473d6c6600961bd |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.