Triple

T6481647
Position Surface form Disambiguated ID Type / Status
Subject Maryland State Police Academy E146406 entity
Predicate hasPhysicalFitnessStandards P71151 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: [Maryland State Police Academy, hasPhysicalFitnessStandards, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhysicalFitnessStandards
Context triple: [Maryland State Police Academy, hasPhysicalFitnessStandards, yes]
  • A. hasAthletics
    Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
  • B. militaryBranchEligibility
    Indicates that an entity meets the required conditions to serve in a specified branch of the military.
  • C. militaryRankEligibility
    Indicates that one entity is qualified or permitted to hold, attain, or be considered for a specified military rank.
  • D. canBeHeldByActiveDutyOfficer
    Indicates that the specified role, position, or responsibility is eligible to be occupied or performed by an officer who is currently serving on active duty.
  • E. eligibilityCriteria
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • F. None of above. chosen

Provenance (4 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6b2e9881908b715573e7ba7458 completed March 22, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69c0673f6d48819080e10c85155c7195 completed March 22, 2026, 10:03 p.m.
PDg Predicate description generation batch_69c06822f73081908e6bb9edecbe77a6 completed March 22, 2026, 10:07 p.m.
Created at: March 22, 2026, 4:51 p.m.