Triple

T20091291
Position Surface form Disambiguated ID Type / Status
Subject Izumisano Station E496274 entity
Predicate serves P98 FINISHED
Object city of Izumisano 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: city of Izumisano | Statement: [Izumisano Station, serves, city of Izumisano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Izumisano
Context triple: [Izumisano Station, serves, city of Izumisano]
  • A. City of Izumo
    The City of Izumo is a municipality in Shimane Prefecture, Japan, renowned for its ancient Shinto heritage and the famous Izumo Taisha Grand Shrine.
  • B. City of Wakayama
    The City of Wakayama is a coastal municipality in Japan’s Kansai region, known for its historic castle, cultural heritage, and role as the administrative and economic center of Wakayama Prefecture.
  • C. Urakami
    Urakami is a historic district of Nagasaki, Japan, known notably as the area devastated by the atomic bombing during World War II and for its prominent Catholic heritage.
  • D. Izumisano chosen
    Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
  • E. Kakamigahara
    Kakamigahara is a city in Gifu Prefecture, Japan, known for its aerospace industry, manufacturing, and proximity to Nagoya.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655edde08190a3f950e7f0c7cf9c completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:21 p.m.