Triple
T227287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguela Current |
E4338
|
entity |
| Predicate | associatedWithProcess |
P5667
|
FINISHED |
| Object | coastal upwelling |
—
|
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: coastal upwelling | Statement: [Benguela Current, associatedWithProcess, coastal upwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithProcess Context triple: [Benguela Current, associatedWithProcess, coastal upwelling]
-
A.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
associatedOperation
chosen
Indicates that one entity is linked to or involved with a particular operation, process, or activity.
-
C.
associatedWithManager
Indicates that an entity has a managerial connection or relationship with a specific manager.
-
D.
associatedWithMovement
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
E.
associatedWithDecision
Indicates a relationship where an entity is linked or connected to a particular decision, such that the decision is relevant to, influenced by, or otherwise tied to that entity.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.