Triple

T17043883
Position Surface form Disambiguated ID Type / Status
Subject Alabama Law Enforcement Radio System E413513 entity
Predicate interoperabilityScope P114886 FINISHED
Object inter-agency 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: inter-agency | Statement: [Alabama Law Enforcement Radio System, interoperabilityScope, inter-agency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interoperabilityScope
Context triple: [Alabama Law Enforcement Radio System, interoperabilityScope, inter-agency]
  • A. interoperabilityWith
    Indicates that one system, component, or standard can effectively exchange and use information or services with another.
  • B. interoperabilityStandard
    Indicates that there is a standard or specification enabling different systems, components, or technologies to work together and exchange information seamlessly.
  • C. standardizationScope
    Indicates the extent or domain within which a standard or standardization effort is intended to apply or be enforced.
  • D. collaborationScope chosen
    Indicates the extent, boundaries, and areas of responsibility covered by a particular collaboration between entities.
  • E. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9c112c81908232dc6908d831cf completed April 18, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69e35d60a588819084f53ef9f8b2e7c0 completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.