Triple

T1303576
Position Surface form Disambiguated ID Type / Status
Subject District Court of Maryland E27821 entity
Predicate hasAccessibilityGoal P14666 FINISHED
Object to be geographically accessible to residents 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: to be geographically accessible to residents | Statement: [District Court of Maryland, hasAccessibilityGoal, to be geographically accessible to residents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAccessibilityGoal
Context triple: [District Court of Maryland, hasAccessibilityGoal, to be geographically accessible to residents]
  • A. hasPolicyGoal chosen
    Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
  • B. hasPrimaryGoal
    Indicates that an entity’s main or most important objective is the specified goal.
  • C. accessible
    Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
  • D. isAccessible
    Indicates that one entity can be reached, used, or entered by another entity without obstruction or restriction.
  • E. hasTherapeuticGoal
    Indicates that an action, treatment, or intervention is undertaken with the intention of achieving a specific therapeutic or health-related outcome.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c116d7d881908ee631258f80980e completed March 1, 2026, 10:43 p.m.
PD Predicate disambiguation batch_69a4bee8544c8190874efd9bae9bccf9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.