Triple

T15080850
Position Surface form Disambiguated ID Type / Status
Subject Central News Agency E380136 entity
Predicate hasAbbreviation P43 FINISHED
Object CNA
CNA is a major news agency that provides national and international news coverage, often serving as a primary source for media outlets.
 E1136431 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 | Statement: [Central News Agency, hasAbbreviation, CNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNA
Context triple: [Central News Agency, hasAbbreviation, CNA]
  • A. CNA
    CNA is an Italian employers' association representing small and medium-sized enterprises, artisans, and related businesses.
  • B. CNA
    CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
  • C. CNA
    CNA is the London Stock Exchange ticker symbol under which the British energy company Centrica is publicly traded.
  • D. CNAH
    CNAH is the acronym for China National Aviation Holding, a major Chinese state-owned aviation conglomerate that oversees several key airlines and aviation-related businesses.
  • E. CNAF
    CNAF is a major computing and data center of the Italian National Institute for Nuclear Physics, dedicated to supporting large-scale experiments in particle and nuclear physics.
  • 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
Triple: [Central News Agency, hasAbbreviation, CNA]
Generated description
CNA is a major news agency that provides national and international news coverage, often serving as a primary source for media outlets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNA
Target entity description: CNA is a major news agency that provides national and international news coverage, often serving as a primary source for media outlets.
  • 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. CNAH
    CNAH is the acronym for China National Aviation Holding, a major Chinese state-owned aviation conglomerate that oversees several key airlines and aviation-related businesses.
  • E. CNAF
    CNAF is a major computing and data center of the Italian National Institute for Nuclear Physics, dedicated to supporting large-scale experiments in particle and nuclear physics.
  • 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.