Triple

T3305814
Position Surface form Disambiguated ID Type / Status
Subject Edo E69445 entity
Predicate hasLandmark P105 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: [Edo, hasLandmark, Sumida River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumida River
Context triple: [Edo, hasLandmark, 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. 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.
  • C. 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.
  • D. Yamato River
    The Yamato River is a major river in Japan’s Kansai region that flows through Nara and Osaka Prefectures before emptying into Osaka Bay.
  • E. Sumida
    Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32507bc808190b9c3fce4c456b0aa completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.