Triple

T12333941
Position Surface form Disambiguated ID Type / Status
Subject Columbia, South Carolina E294032 entity
Predicate hasNickname P39 FINISHED
Object Soda City E206439 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: Soda City | Statement: [Columbia, South Carolina, hasNickname, Soda City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soda City
Context triple: [Columbia, South Carolina, hasNickname, Soda City]
  • A. Soda City chosen
    Soda City is a popular nickname for Columbia, South Carolina, reflecting the city's historic association with the soft drink industry and its vibrant local culture.
  • B. Limestone City
    Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
  • C. Elwood City
    Elwood City is the fictional suburban town where the children's animated series "Arthur" takes place, featuring anthropomorphic animal characters and everyday school and family life.
  • D. Ice City
    Ice City is the popular nickname for Harbin, a major northeastern Chinese city renowned for its frigid winters and spectacular ice and snow sculptures.
  • E. Square City
    Square City is a walled, square-shaped fortress-like structure that serves as the main gate complex and defensive enclosure at the entrance to the Ming Xiaoling Mausoleum in Nanjing, China.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.