Triple

T20687154
Position Surface form Disambiguated ID Type / Status
Subject Thrift Shop E508449 entity
Predicate label P38 FINISHED
Object ADA 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: ADA | Statement: [Thrift Shop, label, ADA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADA
Context triple: [Thrift Shop, label, 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. 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.
  • C. ADA chosen
    ADA is a music distribution company that provides independent labels and artists with global physical and digital distribution services.
  • D. 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.
  • E. Americans with Disabilities Act
    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.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.