Triple

T36354048
Position Surface form Disambiguated ID Type / Status
Subject Baltimore County Police Department E895290 entity
Predicate hasSpecializedService P41839 FINISHED
Object 911 emergency call response 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: 911 emergency call response | Statement: [Baltimore County Police Department, hasSpecializedService, 911 emergency call response]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecializedService
Context triple: [Baltimore County Police Department, hasSpecializedService, 911 emergency call response]
  • A. hasSpecialist
    Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
  • B. hasSpecialty
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • C. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • D. hasSupportService chosen
    Indicates that one entity provides or is associated with a support-related service for another entity.
  • E. hasSpecialistStatus
    Indicates that an entity holds a recognized specialist designation or status in a particular field, role, or context.
  • 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_69f76e4f437c8190a1af3ea2564f41f5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69feafa1ba0081909013800b85a9f613 completed May 9, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69feae58d62c81909d031f3df8992883 completed May 9, 2026, 3:47 a.m.
Created at: May 3, 2026, 4:09 p.m.