Triple

T4771338
Position Surface form Disambiguated ID Type / Status
Subject hertz E105932 entity
Predicate inverseOf P21517 FINISHED
Object second per cycle 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: second per cycle | Statement: [hertz, inverseOf, second per cycle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inverseOf
Context triple: [hertz, inverseOf, second per cycle]
  • A. isInverseOf chosen
    Indicates that one relation reverses the direction of another, so that if the original relates A to B, its inverse relates B to A.
  • B. inverseImage
    Indicates the mapping from a set of outputs back to all inputs that are related to those outputs under a given function or relation.
  • C. inverseFlattening
    Indicates the reciprocal of the flattening ratio of an ellipsoid, expressing how much it deviates from a perfect sphere.
  • D. inverselyProportionalTo
    Indicates that as the value of one quantity increases, the value of the other quantity decreases in such a way that their product remains constant.
  • E. reversed
    Indicates that the direction or order of a previously defined relationship or sequence between entities is inverted.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655e5dcc8190a932be9b1baaffb2 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.