Triple

T7846109
Position Surface form Disambiguated ID Type / Status
Subject Form 1040-NR filing E181925 entity
Predicate nonComplianceMayResultIn P7914 FINISHED
Object failure-to-file penalties 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: failure-to-file penalties | Statement: [Form 1040-NR filing, nonComplianceMayResultIn, failure-to-file penalties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonComplianceMayResultIn
Context triple: [Form 1040-NR filing, nonComplianceMayResultIn, failure-to-file penalties]
  • A. riskIfNoncompliance chosen
    Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
  • B. accusationsOfNonComplianceBy
    Indicates that one party has formally alleged that another party has failed to meet required rules, standards, or obligations.
  • C. violationConsequences
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • D. notEnforcedBy
    Indicates that a rule, policy, or obligation is not upheld, imposed, or carried out by the referenced enforcing entity.
  • E. mayResultIn
    Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163f5da08190b7340ef4cc01cd19 completed March 31, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69cae92180f88190ae3d44c3de7adc93 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:49 p.m.