Triple
T7111350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollution Prevention Act of 1990 |
E165713
|
entity |
| Predicate | establishesPolicyOn |
P73991
|
FINISHED |
| Object | pollution prevention |
—
|
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: pollution prevention | Statement: [Pollution Prevention Act of 1990, establishesPolicyOn, pollution prevention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishesPolicyOn Context triple: [Pollution Prevention Act of 1990, establishesPolicyOn, pollution prevention]
-
A.
formulatesPolicy
chosen
Indicates that one entity creates, defines, or establishes policies that govern or guide the behavior, decisions, or operations of another entity or system.
-
B.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
C.
eraPolicy
Indicates that a specific policy was in effect during a particular historical or temporal era.
-
D.
containsPolicyOn
Indicates that one entity includes, references, or incorporates a specific policy within it.
-
E.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.