Triple

T6939238
Position Surface form Disambiguated ID Type / Status
Subject Laplace law of error E160629 entity
Predicate isMoreRobustTo P55827 FINISHED
Object outliers than the normal distribution 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: outliers than the normal distribution | Statement: [Laplace law of error, isMoreRobustTo, outliers than the normal distribution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMoreRobustTo
Context triple: [Laplace law of error, isMoreRobustTo, outliers than the normal distribution]
  • A. isStrongerProtectionThan
    Indicates that one form of protection provides a higher level of security, defense, or safeguarding compared to another.
  • B. isResistant
    Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
  • C. isStrongerThan
    Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
  • D. strongerThan
    Indicates that one entity possesses greater strength, power, or intensity than another.
  • E. occursMoreStronglyFor chosen
    Indicates that a particular effect, condition, or phenomenon manifests with greater intensity, frequency, or impact for one entity or context compared to another.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e0c74fe48190aeaa018631e52ef6 completed March 27, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69c6d7bd5a388190a57a96d925696ff6 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:28 p.m.