Triple
T32624079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Business Platinum Card from American Express |
E834005
|
entity |
| Predicate | cardSegment |
P174945
|
FINISHED |
| Object | small business |
—
|
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: small business | Statement: [The Business Platinum Card from American Express, cardSegment, small business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardSegment Context triple: [The Business Platinum Card from American Express, cardSegment, small business]
-
A.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
B.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
C.
cardVariant
Indicates that one card is a specific version or variation of another base card.
-
D.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
E.
cardClass
Indicates the classification or category to which a given card belongs within a defined card system or schema.
- F. None of above. chosen
Provenance (4 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:06 a.m.