Triple

T18198313
Position Surface form Disambiguated ID Type / Status
Subject St. Lawrence–FDR Power Project E435716 entity
Predicate supportsPrograms P85994 FINISHED
Object economic development power programs in New York 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: economic development power programs in New York | Statement: [St. Lawrence–FDR Power Project, supportsPrograms, economic development power programs in New York]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsPrograms
Context triple: [St. Lawrence–FDR Power Project, supportsPrograms, economic development power programs in New York]
  • A. supportsProgrammesOf chosen
    Indicates that one entity provides assistance, resources, or endorsement to help another entity’s programmes operate or succeed.
  • B. supportProgram
    Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
  • C. supportsProgramType
    Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
  • D. sponsoredPrograms
    Indicates that an entity provides financial or resource support to specific programs or initiatives.
  • E. supportsProjectsIn
    Indicates that one entity provides assistance, resources, or backing for projects occurring within or associated with another entity.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69e4331e92408190ad607ba4956a3897 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:31 a.m.