Triple

T13857379
Position Surface form Disambiguated ID Type / Status
Subject United States v. Warshak E333099 entity
Predicate goodFaithExceptionApplied P23630 FINISHED
Object yes 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: yes | Statement: [United States v. Warshak, goodFaithExceptionApplied, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goodFaithExceptionApplied
Context triple: [United States v. Warshak, goodFaithExceptionApplied, yes]
  • A. exceptionToWarrantRequirement chosen
    Indicates that a particular situation or condition qualifies as a legally recognized exception to the usual requirement of obtaining a warrant before acting.
  • B. reasonForException
    Indicates the specific cause or justification for why a normal rule, process, or condition does not apply in a given case.
  • C. rejectedClaim
    Indicates that one party has refused to accept, approve, or validate a claim made by another party.
  • D. consequenceOfApplication
    Indicates that something occurs as a result or outcome of a particular application or use of something.
  • E. exceptionToOaths
    Indicates that a situation, condition, or rule provides a valid exception to an otherwise binding oath or sworn obligation.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02dc9f488190b7181dcb7e304632 completed April 14, 2026, 9:03 a.m.
PD Predicate disambiguation batch_69dbc8691b608190a25a7c70a366b170 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:14 p.m.