Triple

T15713191
Position Surface form Disambiguated ID Type / Status
Subject Academy Sports + Outdoors E380889 entity
Predicate tickerSymbol P1447 FINISHED
Object ASO
ASO is the stock ticker symbol for Academy Sports + Outdoors, a U.S.-based sporting goods and outdoor recreation retail chain.
 E1172517 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: ASO | Statement: [Academy Sports + Outdoors, tickerSymbol, ASO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASO
Context triple: [Academy Sports + Outdoors, tickerSymbol, ASO]
  • A. ASO
    ASO is a major French sports event management company best known for organizing the Tour de France and other prominent international competitions.
  • B. ASO
    ASO is one of ICANN’s supporting organizations responsible for overseeing global IP address policy development and coordination.
  • C. ASO
    ASO is the Air Staff Office of Japan, the central administrative body responsible for planning and managing operations of the Japan Air Self-Defense Force.
  • D. ASO Chlef
    ASO Chlef is a professional football club from Chlef, Algeria, known for competing in the country’s top-tier league and winning the Algerian Ligue Professionnelle 1 title.
  • E. AOS
    AOS is the abbreviation for McGill University's Department of Atmospheric and Oceanic Sciences, which focuses on research and education in weather, climate, and ocean systems.
  • 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: ASO
Triple: [Academy Sports + Outdoors, tickerSymbol, ASO]
Generated description
ASO is the stock ticker symbol for Academy Sports + Outdoors, a U.S.-based sporting goods and outdoor recreation retail chain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASO
Target entity description: ASO is the stock ticker symbol for Academy Sports + Outdoors, a U.S.-based sporting goods and outdoor recreation retail chain.
  • A. ASO
    ASO is one of ICANN’s supporting organizations responsible for overseeing global IP address policy development and coordination.
  • B. ASO
    ASO is a major French sports event management company best known for organizing the Tour de France and other prominent international competitions.
  • C. ASO
    ASO is the Air Staff Office of Japan, the central administrative body responsible for planning and managing operations of the Japan Air Self-Defense Force.
  • D. ASO Chlef
    ASO Chlef is a professional football club from Chlef, Algeria, known for competing in the country’s top-tier league and winning the Algerian Ligue Professionnelle 1 title.
  • E. AOS
    AOS is the abbreviation for McGill University's Department of Atmospheric and Oceanic Sciences, which focuses on research and education in weather, climate, and ocean systems.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff769d305881908791ffcb0a30ee35 completed May 9, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff770b73d48190a422a0760c03f763 completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.