Triple

T15080883
Position Surface form Disambiguated ID Type / Status
Subject Central News Agency E380137 entity
Predicate alsoKnownAs P39 FINISHED
Object CNA News
CNA News is a Taiwanese state-owned news agency that provides domestic and international news coverage across multiple media platforms.
E1136432 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: CNA News | Statement: [Central News Agency, alsoKnownAs, CNA News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNA News
Context triple: [Central News Agency, alsoKnownAs, CNA News]
  • A. CNA
    CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
  • B. CNA
    CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
  • C. CNA
    CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
  • D. CNN2
    CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
  • E. CNews
    CNews is a French 24-hour television news channel known for its rolling news coverage and opinion-led programming.
  • 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: CNA News
Triple: [Central News Agency, alsoKnownAs, CNA News]
Generated description
CNA News is a Taiwanese state-owned news agency that provides domestic and international news coverage across multiple media platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CNA News
Target entity description: CNA News is a Taiwanese state-owned news agency that provides domestic and international news coverage across multiple media platforms.
  • A. CNA
    CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
  • B. CNA
    CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
  • C. CNA
    CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
  • D. CNN2
    CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
  • E. CNews
    CNews is a French 24-hour television news channel known for its rolling news coverage and opinion-led programming.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff80008c88190840f94222f867478 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf8e1b508190b0b5ceb64d44fad6 completed May 9, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69feb038065c8190b60266644db64092 completed May 9, 2026, 3:55 a.m.
Created at: April 10, 2026, 3:03 a.m.