Triple
T8240735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta SkyMiles Reserve American Express Card |
E192526
|
entity |
| Predicate | cardMaterialCategory |
P1845
|
FINISHED |
| Object | metal card (design subject to change) |
—
|
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: metal card (design subject to change) | Statement: [Delta SkyMiles Reserve American Express Card, cardMaterialCategory, metal card (design subject to change)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardMaterialCategory Context triple: [Delta SkyMiles Reserve American Express Card, cardMaterialCategory, metal card (design subject to change)]
-
A.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
B.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
C.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
D.
collectsMaterialType
Indicates that an entity gathers or acquires materials of a specified type.
-
E.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783e13648190abf34eb8c244ea17 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.