Triple
T19487231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Receiver of Taxes (Town of Hempstead) |
E487541
|
entity |
| Predicate | paymentMethodsAccepted |
P5428
|
FINISHED |
| Object | in-person payments |
—
|
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: in-person payments | Statement: [Office of the Receiver of Taxes (Town of Hempstead), paymentMethodsAccepted, in-person payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentMethodsAccepted Context triple: [Office of the Receiver of Taxes (Town of Hempstead), paymentMethodsAccepted, in-person payments]
-
A.
paymentMethod
chosen
Indicates the means or instrument through which a payment is made in a transaction.
-
B.
paymentServices
Indicates that one entity provides or facilitates payment-related services or processing for another entity.
-
C.
paymentNetworkType
Indicates the type or category of payment network through which a payment is processed or routed.
-
D.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
-
E.
cardAcceptance
Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63441434081909bf26259bab677fe |
completed | April 20, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.