Triple

T3967508
Position Surface form Disambiguated ID Type / Status
Subject Alliance of American Football E92250 entity
Predicate abbreviation P43 FINISHED
Object AAF
AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
 E401186 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: AAF | Statement: [Alliance of American Football, abbreviation, AAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AAF
Context triple: [Alliance of American Football, abbreviation, AAF]
  • A. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • C. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • D. ASF
    ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
  • E. ASF
    ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
  • 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: AAF
Triple: [Alliance of American Football, abbreviation, AAF]
Generated description
AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AAF
Target entity description: AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
  • A. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • C. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • D. ASF
    ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
  • E. ASF
    ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef978a14c8190a7982a2e4489b6ea completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c189a88190b3a81c63621b98ac completed March 14, 2026, 10:09 a.m.
NEDg Description generation batch_69b53470617c8190ab92103943c8ac7b completed March 14, 2026, 10:12 a.m.
NED2 Entity disambiguation (via description) batch_69b5352cae14819097fdf02b324fe814 completed March 14, 2026, 10:15 a.m.
Created at: March 9, 2026, 3:32 p.m.