Triple
T361039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TrueBlue |
E7852
|
entity |
| Predicate | rewardsType |
P7916
|
FINISHED |
| Object | revenue-based points 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: revenue-based points program | Statement: [TrueBlue, rewardsType, revenue-based points program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardsType Context triple: [TrueBlue, rewardsType, revenue-based points program]
-
A.
typeOfIncentive
chosen
Indicates the specific kind or category of incentive associated with an entity or action.
-
B.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
C.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
D.
supportsBonus
Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
-
E.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebce64c88190a0a8edcc7095f78b |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95aeed48190b5e48865cc964938 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.