Triple

T17004516
Position Surface form Disambiguated ID Type / Status
Subject Wo Fat Restaurant E412535 entity
Predicate neighborhood P988 FINISHED
Object Chinatown E2793 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: Chinatown | Statement: [Wo Fat Restaurant, neighborhood, Chinatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinatown
Context triple: [Wo Fat Restaurant, neighborhood, Chinatown]
  • A. Chinatown chosen
    Chinatown is a historic San Francisco neighborhood renowned as one of the oldest and largest Chinese communities outside Asia, famous for its vibrant culture, shops, and cuisine.
  • B. Chinatown
    Chinatown is a historic Vancouver neighborhood known for its vibrant Chinese-Canadian culture, traditional shops and restaurants, and distinctive heritage architecture.
  • C. Chinatown
    Chinatown is a historic Washington, D.C. neighborhood known for its Chinese cultural heritage, distinctive archway, and concentration of restaurants and shops.
  • D. Chinatown
    Chinatown is a culturally rich urban enclave characterized by a high concentration of Chinese residents, businesses, and institutions, often serving as a historic and contemporary hub of Chinese American life.
  • E. Chinatown
    Chinatown is a themed area in West Edmonton Mall designed to resemble a traditional Chinese district with Asian-inspired shops, decor, and dining options.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d380f968819097b59e7bac333ea4 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc2035848190bf299875d37c8ac7 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.