Triple
T19317947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSW |
E483146
|
entity |
| Predicate | customerProgram |
P96784
|
FINISHED |
| Object | loyalty rewards program |
—
|
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: loyalty rewards program | Statement: [DSW, customerProgram, loyalty rewards program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerProgram Context triple: [DSW, customerProgram, loyalty rewards program]
-
A.
programCustomer
chosen
Indicates that a customer is associated with or enrolled in a particular program.
-
B.
companyProgram
Indicates that a program is organized, operated, or sponsored by a specific company.
-
C.
loyaltyCurrencyProgram
Indicates a relationship where an entity participates in or is associated with a loyalty or rewards currency program that tracks and grants benefits based on activity or purchases.
-
D.
loyaltyProgramAccess
Indicates that an entity is granted rights or eligibility to participate in a specific loyalty or rewards program.
-
E.
loyaltyProgramType
Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d85046c81909d972a6b369b0c2b |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.