Triple

T10075881
Position Surface form Disambiguated ID Type / Status
Subject Schwäbisch Gmünd E213753 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object AA
AA is the vehicle registration code used on license plates for the German town of Schwäbisch Gmünd.
 E839271 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: [Schwäbisch Gmünd, vehicleRegistrationCode, AA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AA
Context triple: [Schwäbisch Gmünd, vehicleRegistrationCode, AA]
  • A. AA
    AA is a common cylindrical battery size widely used in household electronic devices such as remote controls, toys, and flashlights.
  • B. AA
    AA is the New York Stock Exchange ticker symbol for Alcoa Corporation, a major American producer of aluminum and related products.
  • C. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • D. AA
    AA is a historic minor league professional baseball organization in the United States that has served as a key developmental league for Major League Baseball.
  • E. 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.
  • 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: [Schwäbisch Gmünd, vehicleRegistrationCode, AA]
Generated description
AA is the vehicle registration code used on license plates for the German town of Schwäbisch Gmünd.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AA
Target entity description: AA is the vehicle registration code used on license plates for the German town of Schwäbisch Gmünd.
  • A. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • 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 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 standard abbreviation for the Second Vatican Council document *Apostolicam Actuositatem*, which outlines the role and mission of laypeople in the Catholic Church.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29c98e470819098bdf9fa51f40d1f completed April 5, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69d29d0190988190891c264556856f60 completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:59 p.m.