Triple

T19689037
Position Surface form Disambiguated ID Type / Status
Subject 御堂筋 E472785 entity
Predicate hasPart P35 FINISHED
Object 心斎橋地区 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: 心斎橋地区 | Statement: [御堂筋, hasPart, 心斎橋地区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 心斎橋地区
Context triple: [御堂筋, hasPart, 心斎橋地区]
  • A. Dotonbori
    Dotonbori is a famous entertainment and nightlife district in Osaka, Japan, known for its neon billboards, street food, and canal-side atmosphere.
  • B. 番町地区
    番町地区 is a historic and upscale residential and educational area in central Tokyo’s Chiyoda ward, known for its embassies, schools, and proximity to the Imperial Palace.
  • C. 大阪市港区
    大阪市港区 is one of Osaka City's 24 wards, located along Osaka Bay and known for its port facilities, aquarium, and waterfront attractions.
  • D. Motomachi-Chūkagai area
    The Motomachi-Chūkagai area is Yokohama’s famous district combining the historic Western-influenced Motomachi shopping street with Japan’s largest Chinatown, known for its restaurants, shops, and vibrant cultural atmosphere.
  • E. Shinsaibashi chosen
    Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.