Triple
T32265746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase Sapphire Preferred Card |
E824277
|
entity |
| Predicate | baseEarningRate |
P81487
|
FINISHED |
| Object | 1 point per dollar on non‑bonus purchases |
—
|
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: 1 point per dollar on non‑bonus purchases | Statement: [Chase Sapphire Preferred Card, baseEarningRate, 1 point per dollar on non‑bonus purchases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseEarningRate Context triple: [Chase Sapphire Preferred Card, baseEarningRate, 1 point per dollar on non‑bonus purchases]
-
A.
baseRate
chosen
Indicates the fundamental or standard rate at which something occurs or is charged, serving as a baseline before adjustments or modifiers are applied.
-
B.
compensationRate
Indicates the rate or amount of payment provided in exchange for a specified unit of work, time, or service.
-
C.
basisOfWageDetermination
Indicates the factor or criteria used to determine the amount or structure of a wage.
-
D.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
E.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc7f0ef081909966c28aafcb9bc3 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.