Triple
T10249430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diners Club International |
E240300
|
entity |
| Predicate | networkBrand |
P1500
|
FINISHED |
| Object | Diners Club |
E240300
|
NE 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: Diners Club | Statement: [Diners Club International, networkBrand, Diners Club]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diners Club Context triple: [Diners Club International, networkBrand, Diners Club]
-
A.
Diners Club International
chosen
Diners Club International is a global charge card and payment network brand known as one of the world’s first multipurpose payment cards, now owned and operated by Discover Financial Services.
-
B.
American Express
American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
-
C.
Discover Card
Discover Card is a major U.S. credit card brand known for its cash-back rewards, no annual fees on many cards, and widespread acceptance.
-
D.
Mastercard
Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
-
E.
JCB
JCB is a major British multinational manufacturer of construction, agricultural, and industrial equipment, best known for its yellow diggers and backhoe loaders.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23c4cd88190b99e65a074b68d6b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7b66c6881908b432fbdd5ecf11e |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:28 a.m.