Triple
T35653040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Chip Stamps |
E1030205
|
entity |
| Predicate | typeOfLoyaltyProgram |
P35524
|
FINISHED |
| Object | trading stamp 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: trading stamp program | Statement: [Blue Chip Stamps, typeOfLoyaltyProgram, trading stamp program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLoyaltyProgram Context triple: [Blue Chip Stamps, typeOfLoyaltyProgram, trading stamp program]
-
A.
loyaltyProgramType
chosen
Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
-
B.
loyaltyProgramName
Indicates that an entity is associated with or identified by the name of a specific loyalty or rewards program.
-
C.
loyaltySymbolizedBy
Indicates that an instance of loyalty is represented or expressed by a particular symbol or emblem.
-
D.
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.
-
E.
loyaltyProgramTierOf
Indicates the specific loyalty or rewards program tier that an entity (such as a customer or account) belongs to.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01c303af6081909c229b2c8e91c680 |
completed | May 11, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a01c28ebf54819094318c447d8c7943 |
completed | May 11, 2026, 11:50 a.m. |
Created at: May 3, 2026, 4:05 p.m.