Triple

T18184241
Position Surface form Disambiguated ID Type / Status
Subject tidyverse E435367 entity
Predicate includesPackage P49317 FINISHED
Object modelr 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: modelr | Statement: [tidyverse, includesPackage, modelr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: modelr
Context triple: [tidyverse, includesPackage, modelr]
  • A. GLM
    GLM is the National Rail station code for Gillingham railway station in Kent, England.
  • B. MLR
    MLR is a professional rugby union league in North America featuring teams from the United States and Canada.
  • C. statsmodels
    statsmodels is a Python library for statistical modeling and econometrics, providing tools for estimating and interpreting a wide range of statistical models and tests.
  • D. LGLM
    LGLM is the ICAO airport code for Limnos International Airport, serving the island of Lemnos in Greece.
  • E. Tobit model
    The Tobit model is an econometric regression model designed for situations where the dependent variable is censored, allowing consistent estimation when observations are only partially observed beyond certain limits.
  • 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: modelr
Target entity description: modelr is an R package that provides tools for modeling within the tidyverse ecosystem, simplifying the process of building, evaluating, and visualizing statistical models.
  • A. GLM
    GLM is the National Rail station code for Gillingham railway station in Kent, England.
  • B. MLR
    MLR is a professional rugby union league in North America featuring teams from the United States and Canada.
  • C. statsmodels
    statsmodels is a Python library for statistical modeling and econometrics, providing tools for estimating and interpreting a wide range of statistical models and tests.
  • D. LGLM
    LGLM is the ICAO airport code for Limnos International Airport, serving the island of Lemnos in Greece.
  • E. Tobit model
    The Tobit model is an econometric regression model designed for situations where the dependent variable is censored, allowing consistent estimation when observations are only partially observed beyond certain limits.
  • F. None of above. chosen

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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffd0abc81908cc07d28bdc3d48f completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.