Triple

T1862687
Position Surface form Disambiguated ID Type / Status
Subject Ebisu Bridge E34850 entity
Predicate isIconOf P2007 FINISHED
Object Dotonbori district 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 district | Statement: [Ebisu Bridge, isIconOf, Dotonbori district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dotonbori district
Context triple: [Ebisu Bridge, isIconOf, Dotonbori district]
  • 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. Umeda district
    Umeda district is a major commercial and transportation hub in Osaka, Japan, known for its skyscrapers, shopping complexes, and extensive train and subway connections.
  • C. Abeno district
    Abeno district is a major commercial and residential area in Osaka, Japan, known for its large shopping complexes and the landmark Abeno Harukas skyscraper.
  • D. Nankai District
    Nankai District is a central urban district of Tianjin, China, known for its educational institutions, historical sites, and commercial areas.
  • E. Nihombashi district
    Nihombashi district is a historic commercial and financial center of Tokyo known for its traditional merchants, department stores, and role as a major business hub.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09f856c8190807a7cf2a5f49fcb completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2f394df3c819087cd773980b42f2e completed March 12, 2026, 5:10 p.m.
Created at: March 4, 2026, 7:34 p.m.