Triple

T12535340
Position Surface form Disambiguated ID Type / Status
Subject Anderson, South Carolina E299672 entity
Predicate hasNickname P39 FINISHED
Object Electric City E234631 NE 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: Electric City | Statement: [Anderson, South Carolina, hasNickname, Electric City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Electric City
Context triple: [Anderson, South Carolina, hasNickname, Electric City]
  • A. Electric City
    Electric City is a nickname for Peterborough, Ontario, reflecting its early and prominent use of hydroelectric power and electric streetlights.
  • B. Electric City
    Electric City is a nickname for Scranton, Pennsylvania, reflecting its early adoption of electric streetcars and status as a pioneering electrified city in the United States.
  • C. Electric City chosen
    Electric City is the nickname of Anderson, South Carolina, reflecting its early adoption of electricity and historic role in hydroelectric power development.
  • D. The Electric City
    The Electric City is the nickname of Schenectady, New York, reflecting its historic role as a major center for the electrical industry and home to General Electric.
  • E. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb10618819092540de09997a0c5 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:57 p.m.