Triple
T2818315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop Current |
E54342
|
entity |
| Predicate | typicalFlowSpeed |
P37470
|
FINISHED |
| Object | up to several knots at the surface |
—
|
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: up to several knots at the surface | Statement: [Loop Current, typicalFlowSpeed, up to several knots at the surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFlowSpeed Context triple: [Loop Current, typicalFlowSpeed, up to several knots at the surface]
-
A.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
B.
hasTypicalVelocity
chosen
Indicates that an entity is associated with a characteristic or commonly observed speed at which it typically moves or operates.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
E.
flowVariation
Indicates how the rate or pattern of flow (such as water, traffic, or data) changes over time or across different conditions.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd08f2f481908c3da8a9c7a00552 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.