Triple
T11932270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Area Power Administration |
E283941
|
entity |
| Predicate | typeOfCustomerPriority |
P25884
|
FINISHED |
| Object | preference principle |
—
|
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: preference principle | Statement: [Western Area Power Administration, typeOfCustomerPriority, preference principle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCustomerPriority Context triple: [Western Area Power Administration, typeOfCustomerPriority, preference principle]
-
A.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
B.
typeOfPriority
chosen
Indicates the specific priority level or category assigned to something relative to other items or tasks.
-
C.
loyaltyProgramTierOf
Indicates the specific loyalty or rewards program tier that an entity (such as a customer or account) belongs to.
-
D.
primaryUserType
Indicates the main or dominant category of user associated with an entity or interaction.
-
E.
VIPStatus
Indicates that an entity holds a special or privileged status compared to others, often granting enhanced access, benefits, or priority treatment.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.