Triple

T18704889
Position Surface form Disambiguated ID Type / Status
Subject StatisticsGen E457343 entity
Predicate outputUsedBy P64275 FINISHED
Object ExampleValidator NE NERFINISHED

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: ExampleValidator | Statement: [StatisticsGen, outputUsedBy, ExampleValidator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ExampleValidator
Context triple: [StatisticsGen, outputUsedBy, ExampleValidator]
  • A. ExampleValidator chosen
    ExampleValidator is a TensorFlow Extended component that automatically analyzes input data to detect anomalies and validate examples before they are used in machine learning pipelines.
  • B. ExampleValidatorConfig
    ExampleValidatorConfig is a configuration object that defines the settings and rules used to control how the ExampleValidator performs its validation tasks.
  • C. Validator
    Validator is a Symfony component that provides a flexible validation system for checking and enforcing constraints on data and objects in PHP applications.
  • D. Hibernate Validator
    Hibernate Validator is the reference implementation of the Jakarta Bean Validation specification, providing a comprehensive framework for declarative validation of Java objects and their constraints.
  • E. Apache BVal
    Apache BVal is an open-source implementation of the Jakarta Bean Validation specification provided by the Apache Software Foundation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671665bc8190b9b4a4ce4ec5b2eb completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.