Triple
T5324410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community Eligibility Provision |
E121751
|
entity |
| Predicate | reimbursementCategory |
P63502
|
FINISHED |
| Object | free meal reimbursement rate |
—
|
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: free meal reimbursement rate | Statement: [Community Eligibility Provision, reimbursementCategory, free meal reimbursement rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reimbursementCategory Context triple: [Community Eligibility Provision, reimbursementCategory, free meal reimbursement rate]
-
A.
includesCreditCategory
Indicates that one entity contains or encompasses a specific credit-related category within its defined set or structure.
-
B.
supportsSpendingCategory
Indicates that one entity allows, enables, or is compatible with making expenditures in a specified spending category.
-
C.
appliesToRevenueType
Indicates that a rule, condition, or classification is specifically relevant or applicable to a particular type of revenue.
-
D.
compensationCategory
Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
-
E.
chargingInstrumentTypes
Indicates the types of instruments or tools used to perform a charging action in a given 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.