Triple

T4828819
Position Surface form Disambiguated ID Type / Status
Subject Midosuji Avenue E107892 entity
Predicate locatedNear P294 FINISHED
Object Dotonbori E167833 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: Dotonbori | Statement: [Midosuji Avenue, locatedNear, Dotonbori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dotonbori
Context triple: [Midosuji Avenue, locatedNear, Dotonbori]
  • A. Dotonbori chosen
    Dotonbori is a famous entertainment and nightlife district in Osaka, Japan, known for its neon billboards, street food, and canal-side atmosphere.
  • B. Shinsaibashi
    Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
  • C. Osaka Namba
    Osaka Namba is a major railway station and commercial hub in central Osaka, Japan, serving multiple private rail lines and providing access to the bustling Namba entertainment and shopping district.
  • D. 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.
  • E. Motomachi
    Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc3dc0481909c8884dbe5043a71 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89d3358c8190bb85ec1835a9f095 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:24 p.m.