Triple

T15305004
Position Surface form Disambiguated ID Type / Status
Subject Stanford Aeronautics and Astronautics Department E365875 entity
Predicate abbreviation P43 FINISHED
Object AA
AA is the commonly used short form for Stanford University's Aeronautics and Astronautics Department, which focuses on aerospace engineering education and research.
 E1150591 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: AA | Statement: [Stanford Aeronautics and Astronautics Department, abbreviation, AA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AA
Context triple: [Stanford Aeronautics and Astronautics Department, abbreviation, AA]
  • A. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • B. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • C. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • D. AA
    AA is the New York Stock Exchange ticker symbol for Alcoa Corporation, a major American producer of aluminum and related products.
  • E. AA
    AA is the vehicle registration code used on license plates to identify motor vehicles registered in the town of Aalen, Germany.
  • 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: AA
Triple: [Stanford Aeronautics and Astronautics Department, abbreviation, AA]
Generated description
AA is the commonly used short form for Stanford University's Aeronautics and Astronautics Department, which focuses on aerospace engineering education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AA
Target entity description: AA is the commonly used short form for Stanford University's Aeronautics and Astronautics Department, which focuses on aerospace engineering education and research.
  • A. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • B. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • C. AA
    AA is the standard abbreviation for the Second Vatican Council document *Apostolicam Actuositatem*, which outlines the role and mission of laypeople in the Catholic Church.
  • D. AA
    AA is the New York Stock Exchange ticker symbol for Alcoa Corporation, a major American producer of aluminum and related products.
  • E. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa339f988190b470e052c853e4f8 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefac48df08190ad58e9d455546a57 completed May 9, 2026, 9:13 a.m.
Created at: April 10, 2026, 3:16 a.m.