Triple

T16639170
Position Surface form Disambiguated ID Type / Status
Subject One Hundred Famous Views of Edo E404284 entity
Predicate locationDepicted P3858 FINISHED
Object Kanda 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: Kanda | Statement: [One Hundred Famous Views of Edo, locationDepicted, Kanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanda
Context triple: [One Hundred Famous Views of Edo, locationDepicted, Kanda]
  • A. Kanda chosen
    Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
  • B. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • C. Kominato
    Kominato is a coastal area in present-day Chiba Prefecture, Japan, historically known as the birthplace of the Buddhist monk Nichiren.
  • D. Kuneē
    Kuneē is the mythological helmet worn by Hades that grants its wearer invisibility in Greek mythology.
  • E. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37acff38081908c8044936b794ce0 completed April 18, 2026, 12:36 p.m.
Created at: April 10, 2026, 5:18 a.m.