Triple

T29537978
Position Surface form Disambiguated ID Type / Status
Subject Experience Corps E749402 entity
Predicate evaluationShows P21543 FINISHED
Object improved reading skills for participating students 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: improved reading skills for participating students | Statement: [Experience Corps, evaluationShows, improved reading skills for participating students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evaluationShows
Context triple: [Experience Corps, evaluationShows, improved reading skills for participating students]
  • A. showsThat chosen
    Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
  • B. evaluationAspect
    Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
  • C. ultimatelyShows
    Indicates that something eventually reveals, demonstrates, or makes clear another thing as a final outcome or conclusion.
  • D. evaluationModel
    Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
  • E. evaluationUse
    Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
  • 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_69f0bd47abb081909bd6e6a33d770fd8 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66cc8f3b481909d2c65c0acffb2ad completed May 2, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69f6659d36208190b01412600a4ed57d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 5 p.m.