Triple

T18184239
Position Surface form Disambiguated ID Type / Status
Subject tidyverse E435367 entity
Predicate includesPackage P49317 FINISHED
Object lubridate
lubridate is an R package that simplifies working with dates and times by providing intuitive functions for parsing, manipulating, and doing arithmetic with date-time data.
 E1311374 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: lubridate | Statement: [tidyverse, includesPackage, lubridate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: lubridate
Context triple: [tidyverse, includesPackage, lubridate]
  • A. uDate
    uDate was an early online dating platform co-founded by entrepreneur Riccardo Zacconi before he went on to create King, the company behind Candy Crush Saga.
  • B. ISO 8601
    ISO 8601 is an international standard that defines a consistent, unambiguous format for representing dates, times, and related data in numeric form.
  • C. datetime
    datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
  • D. NSDate
    NSDate is an Objective-C class in Apple’s Foundation framework that represents a specific point in time for use in macOS and iOS applications.
  • E. HyTime
    HyTime is an SGML-based standard for representing and managing hypermedia and time-based multimedia structures in a platform-independent way.
  • 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: lubridate
Triple: [tidyverse, includesPackage, lubridate]
Generated description
lubridate is an R package that simplifies working with dates and times by providing intuitive functions for parsing, manipulating, and doing arithmetic with date-time data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: lubridate
Target entity description: lubridate is an R package that simplifies working with dates and times by providing intuitive functions for parsing, manipulating, and doing arithmetic with date-time data.
  • A. uDate
    uDate was an early online dating platform co-founded by entrepreneur Riccardo Zacconi before he went on to create King, the company behind Candy Crush Saga.
  • B. ISO 8601
    ISO 8601 is an international standard that defines a consistent, unambiguous format for representing dates, times, and related data in numeric form.
  • C. datetime
    datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
  • D. NSDate
    NSDate is an Objective-C class in Apple’s Foundation framework that represents a specific point in time for use in macOS and iOS applications.
  • E. HyTime
    HyTime is an SGML-based standard for representing and managing hypermedia and time-based multimedia structures in a platform-independent way.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffd0abc81908cc07d28bdc3d48f completed April 19, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0398032e3081909455845718c73b78 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a03990a2bec8190b5d6a472bc9bb3fb completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399c98a88819090e579324d9423e5 completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:31 a.m.