Triple

T14132131
Position Surface form Disambiguated ID Type / Status
Subject Kanmon Tunnel E350194 entity
Predicate hasPart P35 FINISHED
Object Kanmon Road Tunnel E350194 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: Kanmon Road Tunnel | Statement: [Kanmon Tunnel, hasPart, Kanmon Road Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanmon Road Tunnel
Context triple: [Kanmon Tunnel, hasPart, Kanmon Road Tunnel]
  • A. Kanmon Tunnel chosen
    The Kanmon Tunnel is an undersea railway and road tunnel in Japan that links the islands of Honshu and Kyushu beneath the Kanmon Straits.
  • B. Tateyama Tunnel
    Tateyama Tunnel is a high-altitude mountain tunnel in Japan that forms part of the scenic Tateyama Kurobe Alpine Route through the Northern Japan Alps.
  • C. Ohashi
    Ohashi is a neighborhood within Tokyo’s Meguro ward, known as a residential area with convenient urban access.
  • D. Usui Pass tunnel system
    The Usui Pass tunnel system is a series of long railway tunnels in Japan that carry high-speed Shinkansen trains through the mountainous Usui Pass region.
  • E. Shimanami Kaido
    Shimanami Kaido is a scenic expressway and cycling route in Japan that spans a series of bridges and islands across the Seto Inland Sea, linking the islands of Honshu and Shikoku.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610cece88190b4a86500677e5938 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e485fc8190aad0cce445aaec1a completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 11:24 p.m.