Triple

T38085128
Position Surface form Disambiguated ID Type / Status
Subject Bonneville Power Administration E950955 entity
Predicate type P0 FINISHED
Object power marketing administration
A power marketing administration is a U.S. federal agency that markets and transmits wholesale electrical power, primarily from federally owned hydroelectric projects, to utilities and other large customers.
E2255113 NE 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: power marketing administration | Statement: [Bonneville Power Administration, type, power marketing administration]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: power marketing administration
Triple: [Bonneville Power Administration, type, power marketing administration]
Generated description
A power marketing administration is a U.S. federal agency that markets and transmits wholesale electrical power, primarily from federally owned hydroelectric projects, to utilities and other large customers.

Provenance (5 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_69f76f03a3608190a73fd6df87c792a8 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc456e0dd8819093baf03a589f727e completed May 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a415d4c5308819098b2fdcf6290cc3c completed June 28, 2026, 5:43 p.m.
NEDg Description generation batch_6a415e44e4dc8190a3badd6a2af4ed46 completed June 28, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a415f782d9881909ed47dd8690ce40f completed June 28, 2026, 5:52 p.m.
Created at: May 3, 2026, 4:21 p.m.