Triple

T7192160
Position Surface form Disambiguated ID Type / Status
Subject Otsu E167718 entity
Predicate hasHistoricRoute P12633 FINISHED
Object Tokaido E274650 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: Tokaido | Statement: [Otsu, hasHistoricRoute, Tokaido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokaido
Context triple: [Otsu, hasHistoricRoute, Tokaido]
  • A. Tōkaidō chosen
    Tōkaidō is a historic coastal route in Japan that connected Tokyo (Edo) and Kyoto, serving as a major artery for travel, trade, and culture.
  • B. Takadanobaba
    Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
  • C. Grandpass
    Grandpass is a densely populated urban neighborhood in Colombo, Sri Lanka, known for its bustling commercial activity and diverse communities.
  • D. Fusumi no Okami
    Fusumi no Okami is a Shinto deity venerated at Kumano Nachi Taisha, associated with the sacred natural and spiritual landscape of the Kumano region in Japan.
  • E. The Sixty-nine Stations of the Kiso Kaidō
    The Sixty-nine Stations of the Kiso Kaidō is a celebrated ukiyo-e print series depicting the post stations along Japan’s Nakasendō route, created collaboratively by Utagawa Hiroshige and Keisai Eisen in the 19th century.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e901ea1481908a9e44f96dd4b553 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf95a1a0819099d252f037c318c7 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:50 p.m.