Triple

T2114601
Position Surface form Disambiguated ID Type / Status
Subject IRC E42576 entity
Predicate hasNotableNetwork P34893 FINISHED
Object Freenode
Freenode was a major Internet Relay Chat (IRC) network widely used by free and open-source software communities for real-time discussion and collaboration.
 E42576 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: Freenode | Statement: [IRC, hasNotableNetwork, Freenode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Freenode
Context triple: [IRC, hasNotableNetwork, Freenode]
  • A. IRC
    IRC (Internet Relay Chat) is a long-standing, text-based communication protocol that enables real-time group and private messaging over the internet via channels and servers.
  • B. IRC
    IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
  • C. New York IRC
    New York IRC is the independent commission responsible for drawing and revising New York State’s legislative and congressional district maps.
  • D. Discord
    Discord is a popular communication platform that provides text, voice, and video chat for online communities, gamers, and groups.
  • E. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • 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: Freenode
Triple: [IRC, hasNotableNetwork, Freenode]
Generated description
Freenode was a major Internet Relay Chat (IRC) network widely used by free and open-source software communities for real-time discussion and collaboration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Freenode
Target entity description: Freenode was a major Internet Relay Chat (IRC) network widely used by free and open-source software communities for real-time discussion and collaboration.
  • A. IRC chosen
    IRC (Internet Relay Chat) is a long-standing, text-based communication protocol that enables real-time group and private messaging over the internet via channels and servers.
  • B. IRC
    IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
  • C. New York IRC
    New York IRC is the independent commission responsible for drawing and revising New York State’s legislative and congressional district maps.
  • D. Discord
    Discord is a popular communication platform that provides text, voice, and video chat for online communities, gamers, and groups.
  • E. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • F. None of above.

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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3076afec819091183e328cff58c8 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30e1c7488190acd6d29c5ad10c33 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae316398488190b9dd38145d5488b4 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.