Triple

T23452375
Position Surface form Disambiguated ID Type / Status
Subject Geary Boulevard E567817 entity
Predicate passesThrough P225 FINISHED
Object Japantown area 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: Japantown area | Statement: [Geary Boulevard, passesThrough, Japantown area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japantown area
Context triple: [Geary Boulevard, passesThrough, Japantown area]
  • A. Japantown
    Japantown is a historic Japanese-American neighborhood known for its cultural businesses, restaurants, and community institutions.
  • B. Japantown, San Francisco chosen
    Japantown, San Francisco is a historic Japanese-American neighborhood known for its cultural festivals, shops, restaurants, and the Japan Center complex.
  • C. Amerikamura area
    Amerikamura area is a trendy youth culture and shopping district in Osaka known for its fashion boutiques, street art, and vibrant nightlife.
  • D. Sawtelle Japantown
    Sawtelle Japantown is a vibrant West Los Angeles neighborhood known for its Japanese American heritage, bustling eateries, and specialty shops.
  • E. Shibuya Fukuras area
    Shibuya Fukuras area is a major mixed-use urban complex in Tokyo’s Shibuya district, featuring offices, retail, and public spaces as part of the broader Shibuya Station transformation.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64ded5c8190bd50ac5b9bbb0f5f completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:52 p.m.