Triple

T3683707
Position Surface form Disambiguated ID Type / Status
Subject CNA Literary Award E78172 entity
Predicate sponsor P67 FINISHED
Object CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
 E380135 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: [CNA Literary Award, sponsor, CNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNA
Context triple: [CNA Literary Award, sponsor, CNA]
  • A. CNL
    CNL is the commonly used abbreviation for the CONCACAF Nations League, an international football competition for men's national teams from North and Central America and the Caribbean.
  • B. CRN
    CRN is the ICAO airline designator assigned to the Cuban regional carrier AeroCaribbean.
  • C. CNE
    CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
  • D. CNE
    CNE is Chile’s National Energy Commission, the government body responsible for designing, coordinating, and regulating the country’s energy policy and markets.
  • E. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • 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: [CNA Literary Award, sponsor, CNA]
Generated description
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNA
Target entity description: CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
  • A. CNL
    CNL is the commonly used abbreviation for the CONCACAF Nations League, an international football competition for men's national teams from North and Central America and the Caribbean.
  • B. CRN
    CRN is the ICAO airline designator assigned to the Cuban regional carrier AeroCaribbean.
  • C. CNE
    CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
  • D. CNE
    CNE is Chile’s National Energy Commission, the government body responsible for designing, coordinating, and regulating the country’s energy policy and markets.
  • E. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49644d08190866d6c5df9d2b48d completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b86de88190bf4d39aae48ef930 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c78bca688190bb06f64827285790 completed March 14, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b4c7f33dec8190b71ea08cb1d34c32 completed March 14, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:26 p.m.