Triple
T25535533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Rewards |
E640028
|
entity |
| Predicate | activityTypeEarning |
P67161
|
FINISHED |
| Object | purchases on Samsung.com |
—
|
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: purchases on Samsung.com | Statement: [Samsung Rewards, activityTypeEarning, purchases on Samsung.com]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityTypeEarning Context triple: [Samsung Rewards, activityTypeEarning, purchases on Samsung.com]
-
A.
earnActivity
Indicates that an entity gains or receives something of value (such as money, points, or rewards) as a result of performing a particular activity.
-
B.
canEarnOn
chosen
Indicates that an entity is able or permitted to receive or generate earnings from another entity, source, or activity.
-
C.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
D.
earnedCurrency
Indicates that an entity has obtained a specified amount or type of currency as a result of some activity, work, or transaction.
-
E.
incomeType
Indicates the category or source classification of an entity’s income within a given context.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f866376081909ab76a8aa5c3fea7 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 3:22 p.m.