Triple
T6923574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Brazil Current |
E160246
|
entity |
| Predicate | flowsTowardRegion |
P73692
|
FINISHED |
| Object | Caribbean Sea entrance |
—
|
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: Caribbean Sea entrance | Statement: [North Brazil Current, flowsTowardRegion, Caribbean Sea entrance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsTowardRegion Context triple: [North Brazil Current, flowsTowardRegion, Caribbean Sea entrance]
-
A.
flowsNearAdministrativeRegion
Indicates that a flowing feature (such as a river or stream) passes in close proximity to a specified administrative region without necessarily passing through it.
-
B.
flowsNorthOf
Indicates that one entity (typically a watercourse or current) moves in a generally northward direction while remaining geographically north of the other entity.
-
C.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
D.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
-
E.
flowsInAdministrativeRegion
Indicates that something such as a river or stream passes through or is contained within a specified administrative region (e.g., a city, state, or country).
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fea8d08190b6099a24fbac7de5 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:26 p.m.