Triple

T18316545
Position Surface form Disambiguated ID Type / Status
Subject New York City cuisine E438764 entity
Predicate associatedWith P37 FINISHED
Object Koreatown 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: Koreatown | Statement: [New York City cuisine, associatedWith, Koreatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koreatown
Context triple: [New York City cuisine, associatedWith, Koreatown]
  • A. Koreatown chosen
    Koreatown is a vibrant Manhattan neighborhood known for its dense concentration of Korean restaurants, shops, and cultural businesses centered around West 32nd Street near the Empire State Building.
  • B. Koreatown
    Koreatown is a dense Los Angeles neighborhood known for its vibrant Korean-American community, late-night dining, and mix of historic and modern urban development.
  • C. Shin-Okubo Koreatown
    Shin-Okubo Koreatown is a vibrant Korean cultural and commercial district in Tokyo known for its K-pop shops, Korean restaurants, and beauty stores.
  • D. Gangnam District
    Gangnam District is a wealthy, high-end commercial and residential area in Seoul, South Korea, known for its skyscrapers, luxury shopping, and vibrant nightlife.
  • E. Koreatown, Toronto
    Koreatown, Toronto is a vibrant Toronto neighbourhood along Bloor Street West known for its concentration of Korean restaurants, shops, and cultural businesses.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021e61008190a300b6c51976a837 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.