Triple

T29653975
Position Surface form Disambiguated ID Type / Status
Subject Benedict Institute E750216 entity
Predicate hasNotableTransformation P156287 FINISHED
Object renamed as Benedict College 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: renamed as Benedict College | Statement: [Benedict Institute, hasNotableTransformation, renamed as Benedict College]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableTransformation
Context triple: [Benedict Institute, hasNotableTransformation, renamed as Benedict College]
  • A. hasNotableTransition chosen
    Indicates that an entity undergoes or is associated with a significant change, shift, or transformation in state, condition, or role.
  • B. hasTransformation
    Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
  • C. hasNotableOperation
    Indicates that an entity is associated with a significant or noteworthy operation, activity, or procedure.
  • D. hasNotableDelta
    Indicates that there is a significant or noteworthy change or difference between two compared entities or states.
  • E. usesTransformation
    Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert 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_69f0d6226fe881908819197c9ef9ee04 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ffdf47d9608190830ca23d9cef6409 completed May 10, 2026, 1:28 a.m.
PD Predicate disambiguation batch_69ffdf00e2b4819082dd5cb78f316baf completed May 10, 2026, 1:27 a.m.
Created at: April 28, 2026, 6:54 p.m.