Triple
T460010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safe Drinking Water Act |
E7315
|
entity |
| Predicate | 1986AmendmentsEmphasized |
P774
|
FINISHED |
| Object | regulation of additional contaminants |
—
|
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: regulation of additional contaminants | Statement: [Safe Drinking Water Act, 1986AmendmentsEmphasized, regulation of additional contaminants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1986AmendmentsEmphasized Context triple: [Safe Drinking Water Act, 1986AmendmentsEmphasized, regulation of additional contaminants]
-
A.
hasAmendments
Indicates that one entity (such as a document, law, or agreement) includes or is associated with one or more modifications, changes, or additions made after its original creation.
-
B.
effectOfAmendments
chosen
Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
-
C.
amendmentRequires
Indicates that a particular amendment is necessary or must be applied in relation to another item, document, or condition.
-
D.
majorAmendmentDate
Indicates the date on which a significant change or revision to something was formally made or took effect.
-
E.
amendmentCount
Indicates the number of amendments that have been made to a given item, document, or 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbd6ed481909ec40f12b5b675c8 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.