Triple

T1539466
Position Surface form Disambiguated ID Type / Status
Subject Sherbert test E32830 entity
Predicate remainsRelevantFor P1887 FINISHED
Object cases involving individualized governmental assessments 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: cases involving individualized governmental assessments | Statement: [Sherbert test, remainsRelevantFor, cases involving individualized governmental assessments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: remainsRelevantFor
Context triple: [Sherbert test, remainsRelevantFor, cases involving individualized governmental assessments]
  • A. maintainedFor
    Indicates that something is kept in a particular state, condition, or operation for the benefit, use, or purpose of another entity.
  • B. stillUsedBy
    Indicates that something continues to be used or relied upon by another entity at the present time.
  • C. isImportantFor chosen
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • D. relatedTo
    Indicates a general, non-specific relationship or association exists between two entities.
  • E. rememberedFor
    Indicates that one entity is known or recognized primarily because of, or in association with, another entity or achievement.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa95c1a2948190a2b98469afec1a7d completed March 6, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69a907b2453c8190a41f6b88c8217d1e completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.