Triple
T8362413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta SkyMiles Blue American Express Card |
E197039
|
entity |
| Predicate | creditRequired |
P82299
|
FINISHED |
| Object | good to excellent credit |
—
|
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: good to excellent credit | Statement: [Delta SkyMiles Blue American Express Card, creditRequired, good to excellent credit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditRequired Context triple: [Delta SkyMiles Blue American Express Card, creditRequired, good to excellent credit]
-
A.
creditCheckRequired
Indicates that a verification of an entity’s creditworthiness must be performed before proceeding with a related action or transaction.
-
B.
requiresCreditAs
Indicates that one entity must be credited or acknowledged in a specified manner or role in relation to another entity.
-
C.
typicalCreditRequirement
Indicates the usual or standard amount of credit that is generally required or expected in a given context.
-
D.
creditsCanBe
Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
-
E.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6 p.m.