Triple
T37792147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOVES emissions modeling system |
E942112
|
entity |
| Predicate | supportsPollutantType |
—
|
GENERATED |
| Object | criteria air pollutants |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPollutantType Context triple: [MOVES emissions modeling system, supportsPollutantType, criteria air pollutants]
-
A.
targetPollutant
Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
-
B.
treatsPollutant
Indicates that an entity performs an action or process to remove, neutralize, or reduce the harmful effects of a pollutant.
-
C.
hasPollutionIssue
Indicates that an entity is affected by, associated with, or characterized by a pollution-related problem or concern.
-
D.
pollutantsCovered
chosen
Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
-
E.
pollutant
Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
- F. None of above.
Provenance (1 batch)
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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.