Triple

T6075639
Position Surface form Disambiguated ID Type / Status
Subject Public Law 101-336 E135393 entity
Predicate shortName P43 FINISHED
Object ADA E23717 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: ADA | Statement: [Public Law 101-336, shortName, ADA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADA
Context triple: [Public Law 101-336, shortName, ADA]
  • A. ADA
    ADA is the U.S. Army’s Air Defense Artillery Branch, responsible for defending forces and critical assets against aerial and missile threats.
  • B. ADAAA
    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.
  • C. Americans with Disabilities Act chosen
    The Americans with Disabilities Act is a landmark U.S. civil rights law that prohibits discrimination against individuals with disabilities in areas such as employment, public services, public accommodations, transportation, and telecommunications.
  • D. ACA
    ACA is the three-letter ICAO airline designator used to identify Air Canada in international aviation operations and communications.
  • E. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575ec63081908a868a41855acf73 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d43f7908190845c2337cd243a3c completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.