Triple

T7871009
Position Surface form Disambiguated ID Type / Status
Subject Oshiage E182735 entity
Predicate near P350 FINISHED
Object Sumida River E221620 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: Sumida River | Statement: [Oshiage, near, Sumida River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumida River
Context triple: [Oshiage, near, Sumida River]
  • A. Sumida River chosen
    The Sumida River is a historically significant river flowing through central Tokyo, known for its scenic bridges, cherry blossoms, and cultural prominence in Japanese art and literature.
  • B. Nihonbashi River
    The Nihonbashi River is a historic urban waterway in central Tokyo that has long served as an important commercial and transportation artery for the city.
  • C. Meguro River
    The Meguro River is a well-known urban river in Tokyo, Japan, famous for its picturesque cherry blossom-lined banks that attract many visitors during spring.
  • D. Minamishinagawa
    Minamishinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its mix of residential streets, local shops, and proximity to major transport hubs.
  • E. Arakawa River
    The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb384a285881908a5b2de278f9556f completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec5f00b48190b35f7cab67e7e5f9 completed April 1, 2026, 9:58 a.m.
Created at: March 30, 2026, 4:55 p.m.