Triple

T26446829
Position Surface form Disambiguated ID Type / Status
Subject Pearson correlation coefficient E665236 entity
Predicate interpretationAtMinus1 P147766 FINISHED
Object perfect negative linear relationship 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: perfect negative linear relationship | Statement: [Pearson correlation coefficient, interpretationAtMinus1, perfect negative linear relationship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interpretationAtMinus1
Context triple: [Pearson correlation coefficient, interpretationAtMinus1, perfect negative linear relationship]
  • A. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • B. isInterpretedDifferentlyIn
    Indicates that the same item, event, or expression is understood or construed in a different way within a specified context, group, or setting.
  • C. interpretationMethod
    Indicates the method, technique, or process used to interpret or derive meaning from something.
  • D. laterReinterpretedAs
    Indicates that something was originally understood or classified one way but was subsequently given a different interpretation or meaning at a later time.
  • E. HnInterpretation chosen
    Indicates that one entity serves as an interpretation, explanation, or semantic mapping of another entity (such as a text, symbol, or data).
  • 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_69ee883d5040819097dd154643005230 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 27, 2026, 12:02 a.m.