Triple
T4112906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Power |
E90217
|
entity |
| Predicate | powerSalesStructure |
P32903
|
FINISHED |
| Object | long‑term power purchase agreements |
—
|
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: long‑term power purchase agreements | Statement: [Southern Power, powerSalesStructure, long‑term power purchase agreements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerSalesStructure Context triple: [Southern Power, powerSalesStructure, long‑term power purchase agreements]
-
A.
powerSalesPriority
Indicates the relative importance or preference assigned to selling power or energy products compared to other sales opportunities.
-
B.
dealStructure
chosen
Indicates how the terms, components, and conditions of a transaction or agreement are organized and related to one another.
-
C.
pricingStrategy
Indicates the approach or method used to set, adjust, or structure prices for products or services in a given context.
-
D.
paymentStructure
Indicates how payments are organized, scheduled, and divided between the involved parties.
-
E.
commissionType
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.