Triple

T169628
Position Surface form Disambiguated ID Type / Status
Subject Kobe E3089 entity
Predicate hasChinatown P4813 FINISHED
Object Nankinmachi E21817 NE FINISHED

How this triple was built (3 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: Nankinmachi | Statement: [Kobe, hasChinatown, Nankinmachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nankinmachi
Context triple: [Kobe, hasChinatown, Nankinmachi]
  • A. Nankinmachi Chinatown chosen
    Nankinmachi Chinatown is Kobe’s vibrant Chinese quarter, known for its bustling streets, food stalls, and cultural festivals.
  • B. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • C. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • D. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • E. Nara
    Nara is an ancient Japanese city renowned for its early role as a national capital, its historic temples, and its culturally significant deer-filled parks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChinatown
Context triple: [Kobe, hasChinatown, Nankinmachi]
  • A. hasShoppingDistrict
    Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
  • B. hasMainStreet
    Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
  • C. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • D. hasBusinessDistrict
    Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
  • E. hasNeighbourhood chosen
    Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
  • F. None of above.

Provenance (4 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e3686c8190a6124673b83187d9 completed Feb. 28, 2026, 3:12 p.m.
PD Predicate disambiguation batch_69a25665f5b8819096ca3e084faf976e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.