Triple

T14910942
Position Surface form Disambiguated ID Type / Status
Subject Tukey's range test E371257 entity
Predicate morePowerfulThan P24323 FINISHED
Object Bonferroni correction in balanced one-way ANOVA for pairwise means 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: Bonferroni correction in balanced one-way ANOVA for pairwise means | Statement: [Tukey's range test, morePowerfulThan, Bonferroni correction in balanced one-way ANOVA for pairwise means]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: morePowerfulThan
Context triple: [Tukey's range test, morePowerfulThan, Bonferroni correction in balanced one-way ANOVA for pairwise means]
  • A. strongerThan chosen
    Indicates that one entity possesses greater strength, power, or intensity than another.
  • B. isStrongerThan
    Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
  • C. enhancesPowersOf
    Indicates that one entity increases, amplifies, or strengthens the abilities or powers of another entity.
  • D. moreExplosiveThan
    Indicates that one entity has a greater degree of explosive power or volatility than another entity.
  • E. strongerAt
    Indicates that one entity has greater strength, power, or effectiveness than another in a specified context, condition, or domain.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61c6b9c8190a92934d49b98fe46 completed April 15, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69de9a4a14a88190951bb8f4c60bd37b completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:26 a.m.