Triple

T336207
Position Surface form Disambiguated ID Type / Status
Subject Religious Land Use and Institutionalized Persons Act E6731 entity
Predicate providesRemedy P2242 FINISHED
Object injunctive relief 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: injunctive relief | Statement: [Religious Land Use and Institutionalized Persons Act, providesRemedy, injunctive relief]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesRemedy
Context triple: [Religious Land Use and Institutionalized Persons Act, providesRemedy, injunctive relief]
  • A. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • B. remedySought chosen
    Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
  • C. providesThat
    Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
  • D. providedFor
    Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
  • E. treats
    Indicates that one entity provides medical care or therapeutic intervention to another entity.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac950388190829875a07d821ddf completed Feb. 28, 2026, 1:16 p.m.
PD Predicate disambiguation batch_69a2e94f049881908f10bb6548a8bb2e completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.