Triple

T23339489
Position Surface form Disambiguated ID Type / Status
Subject Nankinmachi Square E591695 entity
Predicate partOf P40 FINISHED
Object Kobe Chinatown 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: Kobe Chinatown | Statement: [Nankinmachi Square, partOf, Kobe Chinatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobe Chinatown
Context triple: [Nankinmachi Square, partOf, Kobe Chinatown]
  • A. Kobe Chinatown chosen
    Kobe Chinatown is a compact, bustling Chinese district in central Kobe, Japan, known for its vibrant streets, food stalls, and cultural festivals.
  • B. China Town
    "China Town" is a 1962 Hindi-language Indian crime thriller film starring Shammi Kapoor in a double role, known for its blend of suspense, music, and drama.
  • C. China Town
    China Town is an Asian-themed area within the Phantasialand amusement park, designed to evoke the architecture and atmosphere of traditional Chinese culture.
  • D. China Town
    China Town was the original name of the Nevada settlement that later became the town of Dayton.
  • E. Chinatown, Los Angeles
    Chinatown, Los Angeles is a historic neighborhood and cultural district known for its Chinese-American community, restaurants, markets, and iconic architecture just north of downtown Los Angeles.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.