Triple

T11223075
Position Surface form Disambiguated ID Type / Status
Subject Shin-Okubo Station E265620 entity
Predicate nearbyArea P2064 FINISHED
Object Tokyo Koreatown E301670 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: Tokyo Koreatown | Statement: [Shin-Okubo Station, nearbyArea, Tokyo Koreatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Koreatown
Context triple: [Shin-Okubo Station, nearbyArea, Tokyo Koreatown]
  • 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
    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. Shin-Okubo Koreatown chosen
    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. Japantown
    Japantown is a historic Japanese-American neighborhood known for its cultural businesses, restaurants, and community institutions.
  • E. Kobe Chinatown
    Kobe Chinatown is a compact, bustling Chinese district in central Kobe, Japan, known for its vibrant streets, food stalls, and cultural festivals.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ec8fb08190b27144ab65f85957 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad1c57908190a5c65ea4738722e3 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.