Triple
T7879199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makola Market |
E182933
|
entity |
| Predicate | paymentForms |
P5428
|
FINISHED |
| Object | cash |
—
|
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: cash | Statement: [Makola Market, paymentForms, cash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentForms Context triple: [Makola Market, paymentForms, cash]
-
A.
paymentServices
Indicates that one entity provides or facilitates payment-related services or processing for another entity.
-
B.
paymentMethod
chosen
Indicates the means or instrument through which a payment is made in a transaction.
-
C.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
-
D.
paymentFormFactor
Indicates the specific method or medium through which a payment is made or presented (e.g., card, mobile wallet, cash).
-
E.
paySystem
Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39be7ab88190affcd353a0cd37fa |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:57 p.m.