Triple

T4325190
Position Surface form Disambiguated ID Type / Status
Subject Python standard library E96619 entity
Predicate includesModule P49317 FINISHED
Object statistics
Statistics is a Python standard library module that provides functions for calculating mathematical statistics of numeric data, such as means, medians, and variance.
 E431923 NE FINISHED

How this triple was built (4 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: statistics | Statement: [Python standard library, includesModule, statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: statistics
Context triple: [Python standard library, includesModule, statistics]
  • A. Statistics
    Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
  • B. STAT
    STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
  • C. ISTIC
    ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
  • D. Stat.
    Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
  • E. STA
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: statistics
Triple: [Python standard library, includesModule, statistics]
Generated description
Statistics is a Python standard library module that provides functions for calculating mathematical statistics of numeric data, such as means, medians, and variance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: statistics
Target entity description: Statistics is a Python standard library module that provides functions for calculating mathematical statistics of numeric data, such as means, medians, and variance.
  • A. Statistics
    Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
  • B. STAT
    STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
  • C. ISTIC
    ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
  • D. Stat.
    Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
  • E. STA
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • F. None of above. chosen

Provenance (5 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3563eab24819088add9180af2ce3c completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d10a20248190b3214509cb637ff4 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4f08ac4819097e71276be11403d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.