Triple

T21566156
Position Surface form Disambiguated ID Type / Status
Subject AFA E532166 entity
Predicate shortName P43 FINISHED
Object AFA
AFA is an acronym that can refer to various organizations or concepts depending on context, such as sports federations, advocacy groups, or technical terms.
 E532166 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: AFA | Statement: [AFA, shortName, AFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AFA
Context triple: [AFA, shortName, AFA]
  • A. AFA
    AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
  • B. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • C. AFA
    AFA is the commonly used abbreviation for Academia da Força Aérea, the Brazilian Air Force Academy responsible for training future Air Force officers.
  • D. AFA
    AFA is an abbreviation commonly used for the ARY Film Awards, a Pakistani awards ceremony honoring achievements in the film industry.
  • E. AfA
    AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
  • 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: AFA
Triple: [AFA, shortName, AFA]
Generated description
AFA is an acronym that can refer to various organizations or concepts depending on context, such as sports federations, advocacy groups, or technical terms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AFA
Target entity description: AFA is an acronym that can refer to various organizations or concepts depending on context, such as sports federations, advocacy groups, or technical terms.
  • A. AFA chosen
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • B. AFA
    AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
  • C. AFA
    AFA is the commonly used abbreviation for Academia da Força Aérea, the Brazilian Air Force Academy responsible for training future Air Force officers.
  • D. AFA
    AFA is an abbreviation commonly used for the ARY Film Awards, a Pakistani awards ceremony honoring achievements in the film industry.
  • E. AfA
    AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
  • F. None of above.

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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9c912a08190952bbc9217a957d9 completed April 27, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eeef32cc81908e4d6f4aebd3de1a completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09efd967d481909c9e0bc1c3f18f4a completed May 17, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09f06905108190b77d5bd95f261f3b completed May 17, 2026, 4:44 p.m.
Created at: April 16, 2026, 6:30 p.m.