Triple

T15736359
Position Surface form Disambiguated ID Type / Status
Subject Ikuchi Bridge E381481 entity
Predicate locatedNear P294 FINISHED
Object Imabari 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: Imabari | Statement: [Ikuchi Bridge, locatedNear, Imabari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imabari
Context triple: [Ikuchi Bridge, locatedNear, 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. Innoshima City
    Innoshima City is a former city in Hiroshima Prefecture, Japan, located on Innoshima Island in the Seto Inland Sea and known for its maritime heritage and shipbuilding industry.
  • C. Yatsushiro
    Yatsushiro is a coastal city in Kumamoto Prefecture on Japan’s Kyushu island, known for its port, industrial activities, and traditional cultural festivals.
  • D. Shiohama
    Shiohama is a neighborhood located within Kōtō ward in Tokyo, Japan.
  • E. Isahaya
    Isahaya is a city in southwestern Japan known for its agricultural production, historical flood-control projects, and proximity to Nagasaki City.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:46 a.m.