Triple
T5324316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIC Farmers' Market Nutrition Program |
E121749
|
entity |
| Predicate | eligibleVendors |
P63501
|
FINISHED |
| Object | authorized farmers' markets |
—
|
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: authorized farmers' markets | Statement: [WIC Farmers' Market Nutrition Program, eligibleVendors, authorized farmers' markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleVendors Context triple: [WIC Farmers' Market Nutrition Program, eligibleVendors, authorized farmers' markets]
-
A.
dataVendor
Indicates a relationship where one entity serves as a provider or supplier of data to another entity.
-
B.
architectureVendor
Indicates that one entity serves as the provider or supplier of architectural services, solutions, or products to another entity.
-
C.
majorVendor
Indicates that one entity serves as a primary or leading supplier of goods or services to another entity.
-
D.
endorsedBy
Indicates that one entity has given formal approval, support, or recommendation to another entity.
-
E.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
- F. None of above. chosen
Provenance (4 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd86f0cbfc8190b6665dd9b28d6345 |
completed | March 20, 2026, 5:42 p.m. |
Created at: March 20, 2026, 1:59 p.m.