Triple

T4089337
Position Surface form Disambiguated ID Type / Status
Subject Public Law 111-148 E87666 entity
Predicate shortName P43 FINISHED
Object ACA E87665 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: ACA | Statement: [Public Law 111-148, shortName, ACA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACA
Context triple: [Public Law 111-148, shortName, ACA]
  • A. ACA chosen
    ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
  • B. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • C. ACA
    ACA is the three-letter ICAO airline designator used to identify Air Canada in international aviation operations and communications.
  • D. AAC
    AAC is the abbreviation commonly used for the Australian Army Cadets, a national youth development organization supported by the Australian Army.
  • E. AAC
    AAC is the common abbreviation for Associação Académica de Coimbra, a historic Portuguese students' association and multi-sport club based in Coimbra.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefca9e9088190a97cb2ccb5d622f0 completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5769e8b188190a6356c325d0551ea completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:39 p.m.