Triple

T15392479
Position Surface form Disambiguated ID Type / Status
Subject Midosuji Line at Shinsaibashi Station E368081 entity
Predicate district P2709 FINISHED
Object Shinsaibashi E19641 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: Shinsaibashi | Statement: [Midosuji Line at Shinsaibashi Station, district, Shinsaibashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinsaibashi
Context triple: [Midosuji Line at Shinsaibashi Station, district, Shinsaibashi]
  • A. Shinsaibashi chosen
    Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
  • B. Motomachi
    Motomachi is a central commercial and entertainment district in Osaka known for its bustling shopping streets and proximity to major transport hubs.
  • C. Motomachi
    Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
  • D. Motomachi
    Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced atmosphere.
  • E. Dotonbori
    Dotonbori is a famous entertainment and nightlife district in Osaka, Japan, known for its neon billboards, street food, and canal-side atmosphere.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00d445c4848190b5c97bb27be6c749 completed May 10, 2026, 6:53 p.m.
Created at: April 10, 2026, 3:19 a.m.