Triple

T16115832
Position Surface form Disambiguated ID Type / Status
Subject Public Law 115-97 E390998 entity
Predicate reducesToZero P9150 FINISHED
Object individual mandate penalty under the Affordable Care Act LITERAL 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: individual mandate penalty under the Affordable Care Act | Statement: [Public Law 115-97, reducesToZero, individual mandate penalty under the Affordable Care Act]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reducesToZero
Context triple: [Public Law 115-97, reducesToZero, individual mandate penalty under the Affordable Care Act]
  • A. reducesTo
    Indicates that one expression, structure, or state can be transformed or simplified into another, typically more basic or canonical, form.
  • B. isZeroFor chosen
    Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
  • C. hasZeroDivisors
    Indicates that within a given algebraic structure, there exist nonzero elements whose product is zero, i.e., the structure contains zero divisors.
  • D. isNonzeroFor
    Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
  • E. zeroDefinition
    Indicates that something has no defined value, quantity, or specification within the given context.
  • F. None of above.

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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016a9dd48190bca3f58778ed865f completed April 17, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e1828518c48190a8ef3aaa46a1f639 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5 a.m.