Triple

T11153723
Position Surface form Disambiguated ID Type / Status
Subject Ehime Prefecture E263850 entity
Predicate hasCity P316 FINISHED
Object Imabari E267878 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: Imabari | Statement: [Ehime Prefecture, hasCity, Imabari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imabari
Context triple: [Ehime Prefecture, hasCity, Imabari]
  • A. Imabari chosen
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • B. Isahaya
    Isahaya is a city in southwestern Japan known for its agricultural production, historical flood-control projects, and proximity to Nagasaki City.
  • C. Tsuruga
    Tsuruga is a coastal city in Fukui Prefecture, Japan, known as a key port and transportation hub on the Sea of Japan side of Honshu.
  • D. Kamaishi
    Kamaishi is a coastal city in northeastern Japan known for its historic iron and steel industry and as a venue for the 2019 Rugby World Cup.
  • E. Yamaguchi
    Yamaguchi is a common Japanese surname associated with numerous individuals, places, and institutions throughout Japan.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e872ffbc8190b8a3bbd912115342 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3ab3c8881909da34dc94a1deff2 completed May 9, 2026, 11:30 p.m.
Created at: April 8, 2026, 9:28 p.m.