Triple
T5324330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIC Farmers' Market Nutrition Program |
E121749
|
entity |
| Predicate | benefitDeliveryLocation |
P39024
|
FINISHED |
| Object | 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: farmers' markets | Statement: [WIC Farmers' Market Nutrition Program, benefitDeliveryLocation, farmers' markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitDeliveryLocation Context triple: [WIC Farmers' Market Nutrition Program, benefitDeliveryLocation, farmers' markets]
-
A.
offersDeliveryTo
Indicates that one entity provides delivery services to another entity or location.
-
B.
beneficiaryRegion
Indicates the region that receives the benefit, advantage, or positive impact resulting from an action, resource, or arrangement.
-
C.
locationOfRecipients
chosen
Indicates the place or geographic area where the intended recipients of something are situated.
-
D.
benefitsState
Indicates that one entity provides an advantage, improvement, or positive outcome to a state or governmental entity.
-
E.
placeOfFirstDelivery
Indicates the location where something (such as a product, service, or item) is initially delivered for the first time.
- 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_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. |
Created at: March 20, 2026, 1:59 p.m.