Triple
T2435968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplemental Nutrition Assistance Program |
E52959
|
entity |
| Predicate | benefitFrequency |
P16914
|
FINISHED |
| Object | monthly |
—
|
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: monthly | Statement: [Supplemental Nutrition Assistance Program, benefitFrequency, monthly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitFrequency Context triple: [Supplemental Nutrition Assistance Program, benefitFrequency, monthly]
-
A.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
B.
dividendFrequency
Indicates how often dividend payments are scheduled or distributed over a given period.
-
C.
typicalFrequencyUnit
Indicates the unit of measurement typically used to express the frequency of an event, action, or occurrence.
-
D.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
E.
performedFrequency
chosen
Indicates how often an action or activity is carried out within a given time period.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.