Triple
T1445079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Water Pollution Control Act of 1948 |
E31158
|
entity |
| Predicate | createdProgramType |
P2192
|
FINISHED |
| Object | federal water pollution control program |
—
|
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: federal water pollution control program | Statement: [Federal Water Pollution Control Act of 1948, createdProgramType, federal water pollution control program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdProgramType Context triple: [Federal Water Pollution Control Act of 1948, createdProgramType, federal water pollution control program]
-
A.
createdProgram
Indicates that an entity authored, developed, or produced a particular program (such as software or a coded application).
-
B.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
C.
implementedProgram
Indicates that an entity has created, developed, or put into operation a particular program or software system.
-
D.
developmentProgramName
Indicates the specific name assigned to a development program associated with an entity or activity.
-
E.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.