Triple

T57553
Position Surface form Disambiguated ID Type / Status
Subject African Academy of Sciences E1138 entity
Predicate abbreviation P43 FINISHED
Object AAS
AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
 E6372 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: AAS | Statement: [African Academy of Sciences, abbreviation, AAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AAS
Context triple: [African Academy of Sciences, abbreviation, AAS]
  • A. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • B. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • C. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • 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: AAS
Triple: [African Academy of Sciences, abbreviation, AAS]
Generated description
AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AAS
Target entity description: AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • A. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • B. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • C. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab7ec3881909356c659f4664fb8 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba79ab881909fa4570aa2acf402 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c28192081909853f2833f1472ef completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.