Triple

T18704858
Position Surface form Disambiguated ID Type / Status
Subject ExampleGen E457342 entity
Predicate hasSubcomponent P25619 FINISHED
Object CsvExampleGen — NE NERFINISHED

How this triple was built (3 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: CsvExampleGen | Statement: [ExampleGen, hasSubcomponent, CsvExampleGen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CsvExampleGen
Context triple: [ExampleGen, hasSubcomponent, CsvExampleGen]
  • A. CSV
    CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
  • B. CSV
    Conseil scolaire Viamonde (CSV) is a French-language public secular school board serving students in various regions of Ontario, Canada.
  • C. CSV
    CSV is a major Christian democratic political party in Luxembourg, formally known as the Christian Social People's Party.
  • D. ExampleGen
    ExampleGen is a TensorFlow Extended (TFX) component responsible for ingesting and converting raw data into standardized examples for machine learning pipelines.
  • E. SchemaGen
    SchemaGen is a TensorFlow Extended (TFX) component that automatically infers and generates data schemas by analyzing example datasets for use in machine learning pipelines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CsvExampleGen
Target entity description: CsvExampleGen is a TFX component that ingests and converts CSV data into standardized training and evaluation examples for machine learning pipelines.
  • A. CSV
    CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
  • B. CSV
    Conseil scolaire Viamonde (CSV) is a French-language public secular school board serving students in various regions of Ontario, Canada.
  • C. CSV
    CSV is a major Christian democratic political party in Luxembourg, formally known as the Christian Social People's Party.
  • D. ExampleGen chosen
    ExampleGen is a TensorFlow Extended (TFX) component responsible for ingesting and converting raw data into standardized examples for machine learning pipelines.
  • E. SchemaGen
    SchemaGen is a TensorFlow Extended (TFX) component that automatically infers and generates data schemas by analyzing example datasets for use in machine learning pipelines.
  • F. None of above.

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.