Triple
T5324062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIC |
E121743
|
entity |
| Predicate | previousBenefitDeliveryMethod |
P23739
|
FINISHED |
| Object | paper vouchers |
—
|
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: paper vouchers | Statement: [WIC, previousBenefitDeliveryMethod, paper vouchers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousBenefitDeliveryMethod Context triple: [WIC, previousBenefitDeliveryMethod, paper vouchers]
-
A.
formerlyDeliveryMode
chosen
Indicates that an entity previously used a particular delivery mode but no longer does so.
-
B.
previousSettlementType
Indicates the type or classification of a settlement that existed at a location before the current or present settlement type.
-
C.
disbursementOption
Indicates the method or arrangement by which funds are paid out or distributed.
-
D.
previousDistribution
Indicates that one distribution event or state occurred immediately before another in a sequence.
-
E.
submissionMethod
Indicates the means or channel through which something is submitted or delivered.
- 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.