Triple

T22730949
Position Surface form Disambiguated ID Type / Status
Subject Public Law 110-325 E562131 entity
Predicate shortName P43 FINISHED
Object ADAAA NE NERFINISHED

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: ADAAA | Statement: [Public Law 110-325, shortName, ADAAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADAAA
Context triple: [Public Law 110-325, shortName, ADAAA]
  • A. ADAAA chosen
    ADAAA is a U.S. federal law that broadened and clarified the protections of the Americans with Disabilities Act by expanding the definition of disability and strengthening civil rights for individuals with disabilities.
  • B. ADA
    ADA is the U.S. Army’s Air Defense Artillery Branch, responsible for defending forces and critical assets against aerial and missile threats.
  • C. ADA
    ADA is a music distribution company that provides independent labels and artists with global physical and digital distribution services.
  • D. ADA
    ADA is the American Dental Association, a leading professional organization that represents dentists in the United States and sets standards for dental practice and oral health.
  • E. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792cb9cc8190a7c45032427bca1a completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.