Triple

T12501929
Position Surface form Disambiguated ID Type / Status
Subject Bladensburg Police Department E298846 entity
Predicate usesJurisdictionType P105320 FINISHED
Object municipal boundaries 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: municipal boundaries | Statement: [Bladensburg Police Department, usesJurisdictionType, municipal boundaries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesJurisdictionType
Context triple: [Bladensburg Police Department, usesJurisdictionType, municipal boundaries]
  • A. usesJurisdiction
    Indicates that one entity applies or operates under the legal authority or rules of a particular jurisdiction.
  • B. definedJurisdictionOf
    Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
  • C. hasJurisidiction
    Indicates that one entity holds legal authority or control over another entity, area, or matter.
  • D. supportsJurisdiction
    Indicates that one jurisdiction provides backing, authority, or legal support for the actions, decisions, or existence of another jurisdiction.
  • E. hasJurisdictionOver
    Indicates that one authority or governing body holds legal power or control to make and enforce decisions over another entity, area, or matter.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
PDg Predicate description generation batch_69d94e87e0e88190bc49dcfe4954c7e0 completed April 10, 2026, 7:24 p.m.
Created at: April 8, 2026, 9:57 p.m.