Triple

T20488913
Position Surface form Disambiguated ID Type / Status
Subject Kinshichō Station E502685 entity
Predicate locatedIn P40 FINISHED
Object Sumida NE NERFINISHED

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 | Statement: [Kinshichō Station, locatedIn, Sumida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumida
Context triple: [Kinshichō Station, locatedIn, Sumida]
  • A. Sumida chosen
    Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
  • 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. Sumida River
    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.
  • D. Shibuya River
    The Shibuya River is a small urban waterway in Tokyo that runs largely underground through the Shibuya district before joining the Meguro River.
  • E. 江戸川
    江戸川 is a river in the Kantō region of Japan that flows between Tokyo and Chiba Prefecture and is known for its historical and cultural significance to the Edo/Tokyo area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5d93ec81908259696359090b35 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.