Triple
T26580466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water Quality Act of 1987 |
E667063
|
entity |
| Predicate | fundingMechanismType |
P59
|
FINISHED |
| Object | state revolving loan fund |
—
|
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: state revolving loan fund | Statement: [Water Quality Act of 1987, fundingMechanismType, state revolving loan fund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingMechanismType Context triple: [Water Quality Act of 1987, fundingMechanismType, state revolving loan fund]
-
A.
fundingModel
chosen
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
B.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
C.
isFinancialMechanismFor
Indicates a relationship where one entity serves as the means, instrument, or structure through which another entity is financed, funded, or economically supported.
-
D.
fundedEntityType
Indicates the type or category of entity that receives funding in the described funding relationship.
-
E.
fundingCapType
Indicates the classification or category of a limit placed on the amount of funding that can be provided.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:02 a.m.