Triple

T10385773
Position Surface form Disambiguated ID Type / Status
Subject Korea Way E244755 entity
Predicate partOf P40 FINISHED
Object Koreatown, Manhattan E3070 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: Koreatown, Manhattan | Statement: [Korea Way, partOf, Koreatown, Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koreatown, Manhattan
Context triple: [Korea Way, partOf, Koreatown, Manhattan]
  • A. 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.
  • B. 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.
  • C. Koreatown, Toronto
    Koreatown, Toronto is a vibrant Toronto neighbourhood along Bloor Street West known for its concentration of Korean restaurants, shops, and cultural businesses.
  • D. 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.
  • E. Times Square Seoul
    Times Square Seoul is a major multi-purpose shopping and entertainment complex in Seoul known for its large-scale retail stores, dining options, and cultural facilities.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a42e748190b10fa7b4ca006bad completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795a30a008190a42db2eda3b5dca2 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.