Triple
T7461212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRNs |
E176252
|
entity |
| Predicate | couponType |
P77230
|
FINISHED |
| Object | floating rate |
—
|
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: floating rate | Statement: [FRNs, couponType, floating rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couponType Context triple: [FRNs, couponType, floating rate]
-
A.
promotionType
Indicates the specific kind or category of promotion associated with an entity or event.
-
B.
campaignCredit
Indicates that credit or attribution for a campaign’s outcome, performance, or impact is assigned to a particular entity.
-
C.
discountRate
Indicates the percentage or amount by which a price, cost, or value is reduced relative to its original level.
-
D.
commissionType
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
-
E.
offersPass
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
- F. None of above. chosen
Provenance (4 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f386daac81908ded91b397b44148 |
completed | March 27, 2026, 9:15 p.m. |
Created at: March 27, 2026, 3:38 p.m.