Triple
T26318083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetCalFresh |
E662026
|
entity |
| Predicate | focusesOnBenefitType |
P101952
|
FINISHED |
| Object | Supplemental Nutrition Assistance Program |
—
|
NE NERFINISHED |
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: Supplemental Nutrition Assistance Program | Statement: [GetCalFresh, focusesOnBenefitType, Supplemental Nutrition Assistance Program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnBenefitType Context triple: [GetCalFresh, focusesOnBenefitType, Supplemental Nutrition Assistance Program]
-
A.
beneficeType
Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
-
B.
benefitAppliesTo
chosen
Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
-
C.
benefitMode
Indicates the manner or method through which a benefit is provided, received, or realized in the relationship.
-
D.
primaryBenefit
Indicates that one entity serves as the main or most important advantage, gain, or positive outcome associated with another entity.
-
E.
benefitCharacteristic
Indicates that one entity possesses a quality or feature that provides an advantage, usefulness, or positive effect to another 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 10:26 p.m.