Triple

T14352613
Position Surface form Disambiguated ID Type / Status
Subject Georgetown E355891 entity
Predicate partOf P40 FINISHED
Object Charlotte Parish NE NERFINISHED

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: Charlotte Parish | Statement: [Georgetown, partOf, Charlotte Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Parish
Context triple: [Georgetown, partOf, Charlotte Parish]
  • A. Charlotte Parish chosen
    Charlotte Parish is an administrative division on the island of Saint Vincent in Saint Vincent and the Grenadines, encompassing towns such as Colonarie.
  • B. Lafayette Parish
    Lafayette Parish is a populous and economically vibrant parish in south-central Louisiana, centered on the city of Lafayette and known as a cultural hub of Cajun and Creole heritage.
  • C. Jackson Parish
    Jackson Parish is a rural parish in northern Louisiana known for its small communities, forestry, and agricultural activities.
  • D. Jefferson Parish
    Jefferson Parish is a populous suburban parish in southeastern Louisiana that includes communities such as Metairie and forms part of the Greater New Orleans metropolitan area.
  • E. LaSalle Parish
    LaSalle Parish is a rural parish in central Louisiana known for its forests, waterways, and small communities centered around the town of Jena.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4ff1e48190bd9419d70098cede completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:14 a.m.