Triple

T20262252
Position Surface form Disambiguated ID Type / Status
Subject Kisei Main Line E498869 entity
Predicate connectsCity P4245 FINISHED
Object Owase 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: Owase | Statement: [Kisei Main Line, connectsCity, Owase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owase
Context triple: [Kisei Main Line, connectsCity, Owase]
  • A. Owase chosen
    Owase is a coastal city in southern Mie Prefecture, Japan, known for its rugged ria coastline, abundant rainfall, and proximity to the Kumano Kodo pilgrimage routes.
  • B. Honjima
    Honjima is an island in Japan’s Seto Inland Sea known for its historic townscape and role as a key site for contemporary art installations during the Setouchi Triennale.
  • C. Inabe
    Inabe is a city in Mie Prefecture, Japan, known for its rural landscapes, agriculture, and access to regional transport routes.
  • D. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • E. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.