Triple

T25844739
Position Surface form Disambiguated ID Type / Status
Subject Laurens District E651032 entity
Predicate reorganizationOf P10997 FINISHED
Object South Carolina county and district system 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: South Carolina county and district system | Statement: [Laurens District, reorganizationOf, South Carolina county and district system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reorganizationOf
Context triple: [Laurens District, reorganizationOf, South Carolina county and district system]
  • A. reorganizationAction
    Indicates an action that restructures or reorganizes an existing organizational, structural, or functional arrangement.
  • B. reorganizedIn chosen
    Indicates that an entity underwent a structural or organizational change within a specified context, time, or framework.
  • C. reorganizedAs
    Indicates that an existing entity has been restructured or reconfigured into a new organizational form or arrangement.
  • D. reorganizedDueTo
    Indicates that one entity was reorganized as a consequence of, or in response to, another specified factor, event, or condition.
  • E. reorganized
    Indicates that an entity has changed the structure, order, or arrangement of another entity or set of entities from a previous configuration.
  • 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_69e7ab38086081908f3a8e7e0c6efd83 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60c698ae48190871cd445422bad91 completed May 2, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69f60b874cc88190a487230abb69efea completed May 2, 2026, 2:34 p.m.
Created at: April 22, 2026, 7:52 a.m.