Triple

T10144884
Position Surface form Disambiguated ID Type / Status
Subject International Press Telecommunications Council E231678 entity
Predicate developsStandard P73 FINISHED
Object rNews
rNews is a standardized metadata framework for publishing and sharing online news content, created for use across the digital news industry.
E844412 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: rNews | Statement: [International Press Telecommunications Council, developsStandard, rNews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rNews
Context triple: [International Press Telecommunications Council, developsStandard, rNews]
  • A. Newsy
    Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
  • B. Newsy
    Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
  • C. The News
    The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
  • D. Wikinews
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • E. News Review
    News Review is a prominent analysis and commentary section of The Sunday Times, offering in-depth coverage and interpretation of the week’s major news stories.
  • 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: rNews
Triple: [International Press Telecommunications Council, developsStandard, rNews]
Generated description
rNews is a standardized metadata framework for publishing and sharing online news content, created for use across the digital news industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: rNews
Target entity description: rNews is a standardized metadata framework for publishing and sharing online news content, created for use across the digital news industry.
  • A. Newsy
    Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
  • B. Newsy
    Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
  • C. The News
    The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
  • D. Wikinews
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • E. News Review
    News Review is a prominent analysis and commentary section of The Sunday Times, offering in-depth coverage and interpretation of the week’s major news stories.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2a373081908615f7b2314e7f90 completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e62236c88190a6ddaf4957cb8b5f completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e73fd6988190a338a9e49dc3671b completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8c425b88190b20f1706fe3343f4 completed April 5, 2026, 10:57 p.m.
Created at: March 30, 2026, 9:07 p.m.