Triple

T19572194
Position Surface form Disambiguated ID Type / Status
Subject The Little Apple E489745 entity
Predicate theme P261 FINISHED
Object comparison with New York City — 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: comparison with New York City | Statement: [The Little Apple, theme, comparison with New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: comparison with New York City
Context triple: [The Little Apple, theme, comparison with New York City]
  • A. New New York City
    New New York City is the futuristic, rebuilt version of New York that serves as the primary urban backdrop in the animated science-fiction comedy series Futurama.
  • B. New York City chosen
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • C. New York City and St. Louis
    New York City and St. Louis are major American cities that historically served as key endpoints of an important east–west rail corridor across the United States.
  • D. Boston, New York
    Boston, New York is a small town in Erie County in western New York State, situated near Buffalo and known for its rural character and residential communities.
  • E. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.