Triple

T13617620
Position Surface form Disambiguated ID Type / Status
Subject Federal Correctional Institution, McDowell E325359 entity
Predicate hasSecurityFor P23332 FINISHED
Object adult male offenders 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: adult male offenders | Statement: [Federal Correctional Institution, McDowell, hasSecurityFor, adult male offenders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecurityFor
Context triple: [Federal Correctional Institution, McDowell, hasSecurityFor, adult male offenders]
  • A. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • B. hasSecurityFunction
    Indicates that an entity performs, provides, or is responsible for a security-related role, protection mechanism, or safeguarding function for another entity or system.
  • C. hasSecurityAccessControl
    Indicates that an entity enforces or is associated with mechanisms that regulate and control access to resources or information for security purposes.
  • D. hasSecurityRelationship chosen
    Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of another entity.
  • E. hasSafetyRole
    Indicates that an entity holds a responsibility or function related to safety within a given context or system.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.