Triple

T18184249
Position Surface form Disambiguated ID Type / Status
Subject tidyverse E435367 entity
Predicate includesPackage P49317 FINISHED
Object httr
httr is an R package that simplifies working with HTTP requests and web APIs, providing a user-friendly interface for sending and receiving data over the web.
 E1311377 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: httr | Statement: [tidyverse, includesPackage, httr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: httr
Context triple: [tidyverse, includesPackage, httr]
  • A. HHTP
    HHTP is the abbreviated name for Hòa Lạc Hi-Tech Park, a major technology and innovation hub in Vietnam.
  • B. HTTPX
    HTTPX is a modern, open-source Python HTTP client that provides a requests-compatible API with first-class support for HTTP/2 and asynchronous I/O.
  • C. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • D. HTMP
    HTMP is the ICAO airport code assigned to Mpanda Airport in Tanzania.
  • E. Axios
    Axios is a digital media company known for its concise, bullet-point-driven coverage of politics, business, technology, and media.
  • 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: httr
Triple: [tidyverse, includesPackage, httr]
Generated description
httr is an R package that simplifies working with HTTP requests and web APIs, providing a user-friendly interface for sending and receiving data over the web.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: httr
Target entity description: httr is an R package that simplifies working with HTTP requests and web APIs, providing a user-friendly interface for sending and receiving data over the web.
  • A. HHTP
    HHTP is the abbreviated name for Hòa Lạc Hi-Tech Park, a major technology and innovation hub in Vietnam.
  • B. HTTPX
    HTTPX is a modern, open-source Python HTTP client that provides a requests-compatible API with first-class support for HTTP/2 and asynchronous I/O.
  • C. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • D. HTMP
    HTMP is the ICAO airport code assigned to Mpanda Airport in Tanzania.
  • E. Axios
    Axios is a digital media company known for its concise, bullet-point-driven coverage of politics, business, technology, and media.
  • 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.