Triple

T16115382
Position Surface form Disambiguated ID Type / Status
Subject Florida v. Jardines E390988 entity
Predicate concernsLawEnforcementTool P51369 FINISHED
Object drug-sniffing dog 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: drug-sniffing dog | Statement: [Florida v. Jardines, concernsLawEnforcementTool, drug-sniffing dog]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: concernsLawEnforcementTool
Context triple: [Florida v. Jardines, concernsLawEnforcementTool, drug-sniffing dog]
  • A. usedByLawEnforcementModel chosen
    Indicates that something is employed or utilized by law enforcement agencies or personnel, typically as a tool, method, or model in their operations or decision-making.
  • B. concernsFeature
    Indicates that something is about, relates to, or involves a particular feature.
  • C. associatedWithLawEnforcementAgency
    Indicates that an entity has a formal connection, role, or involvement with a law enforcement agency.
  • D. concernsProvision
    Indicates a relationship where something is about, deals with, or relates to the supplying or making available of resources, services, or necessities.
  • E. usesToolFor
    Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
  • 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.