Triple

T9954389
Position Surface form Disambiguated ID Type / Status
Subject Telephone City E195408 entity
Predicate hasAlternativeForm P455 FINISHED
Object "The Telephone City" E195408 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: "The Telephone City" | Statement: [Telephone City, hasAlternativeForm, "The Telephone City"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "The Telephone City"
Context triple: [Telephone City, hasAlternativeForm, "The Telephone City"]
  • A. Telephone City chosen
    Telephone City is the nickname of Brantford, Ontario, reflecting its historical association with Alexander Graham Bell and the early development of the telephone.
  • B. 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.
  • C. Paper City
    Paper City is the nickname of Holyoke, Massachusetts, reflecting its historic prominence as a major center of paper manufacturing.
  • D. Electric City
    Electric City is a nickname for Peterborough, Ontario, reflecting its early and prominent use of hydroelectric power and electric streetlights.
  • E. Electric City
    Electric City is the nickname of Anderson, South Carolina, reflecting its early adoption of electricity and historic role in hydroelectric power development.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb694b95481909d049302818e7137 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2294335208190a0483c4e89abb359 completed April 5, 2026, 9:20 a.m.
Created at: March 30, 2026, 8:46 p.m.