Triple

T2435788
Position Surface form Disambiguated ID Type / Status
Subject Public Law 73-10 E52956 entity
Predicate shortName P43 FINISHED
Object AAA of 1933 E5802 NE FINISHED

How this triple was built (2 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: AAA of 1933 | Statement: [Public Law 73-10, shortName, AAA of 1933]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAA of 1933
Context triple: [Public Law 73-10, shortName, AAA of 1933]
  • A. Gold Diggers of 1933
    Gold Diggers of 1933 is a classic pre-Code Hollywood musical film renowned for its lavish Busby Berkeley production numbers and satirical take on Depression-era life.
  • B. AAA chosen
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • C. AAA
    AAA is a common small cylindrical battery size widely used in portable electronic devices such as remote controls and small gadgets.
  • D. BB-33
    BB-33 is the hull classification symbol for USS Arkansas, a Wyoming-class battleship that served in the U.S. Navy during both World Wars.
  • E. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6e23088190b0ce2feaa3eddda4 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.