Triple
T268407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ristorante Caterina de’ Medici |
E5782
|
entity |
| Predicate | paymentOptions |
P5428
|
FINISHED |
| Object | major credit cards |
—
|
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: major credit cards | Statement: [Ristorante Caterina de’ Medici, paymentOptions, major credit cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentOptions Context triple: [Ristorante Caterina de’ Medici, paymentOptions, major credit cards]
-
A.
paymentMethod
chosen
Indicates the means or instrument through which a payment is made in a transaction.
-
B.
topUpMethod
Indicates the method or mechanism used to add funds or value to an account, balance, or service.
-
C.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
D.
supportsAddressTypes
Indicates that an entity is capable of handling or working with one or more specified types of addresses.
-
E.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.