Triple

T21095941
Position Surface form Disambiguated ID Type / Status
Subject Yashima E519764 entity
Predicate hasViewOf P854 FINISHED
Object Seto Ohashi Bridge 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: Seto Ohashi Bridge | Statement: [Yashima, hasViewOf, Seto Ohashi Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seto Ohashi Bridge
Context triple: [Yashima, hasViewOf, Seto Ohashi Bridge]
  • A. Seto Ohashi Bridge chosen
    The Seto Ohashi Bridge is a massive series of double-deck bridges in Japan that carries both road and rail traffic across the Seto Inland Sea between Honshu and Shikoku.
  • B. Tamagawa Ohashi Bridge
    Tamagawa Ohashi Bridge is a major road bridge in the Tokyo area that carries traffic across the Tama River, linking parts of Tokyo and Kawasaki.
  • C. Akashi Kaikyo Bridge
    The Akashi Kaikyo Bridge is a record-breaking suspension bridge in Japan that spans the Akashi Strait, connecting Kobe on Honshu with Awaji Island.
  • D. Ikema Ohashi Bridge
    Ikema Ohashi Bridge is a scenic long-span bridge in Okinawa Prefecture, Japan, known for connecting Miyako-jima and Ikema-jima across strikingly clear turquoise waters.
  • E. Mukogawa Bridge
    Mukogawa Bridge is a bridge spanning the Mukogawa River in Japan, serving as a key local transportation link and landmark in the surrounding area.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.