Triple

T21258587
Position Surface form Disambiguated ID Type / Status
Subject West Virginia Circuit Courts E523935 entity
Predicate eachCircuitCovers P143414 FINISHED
Object one or more counties 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: one or more counties | Statement: [West Virginia Circuit Courts, eachCircuitCovers, one or more counties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eachCircuitCovers
Context triple: [West Virginia Circuit Courts, eachCircuitCovers, one or more counties]
  • A. numberOfCircuits
    Indicates the total count of circuits associated with or contained in a given entity or system.
  • B. hasCircuit
    Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
  • C. usesCircuitsAlsoUsedBy
    Indicates that one entity makes use of electrical circuits that are also utilized by another entity.
  • D. minimumCircuitsRequired
    Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
  • E. servesCircuit
    Indicates that an entity provides legal representation or service in a specified judicial circuit.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69e5f61239708190ab7b3c83ae848a0d completed April 20, 2026, 9:46 a.m.
PDg Predicate description generation batch_69e5f9943ed881909ef49045c5bcf6df completed April 20, 2026, 10:01 a.m.
Created at: April 16, 2026, 3:59 p.m.