Triple

T11384595
Position Surface form Disambiguated ID Type / Status
Subject Hikari (on Sanyo Shinkansen section) E269683 entity
Predicate network P2637 FINISHED
Object Shinkansen E309780 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: Shinkansen | Statement: [Hikari (on Sanyo Shinkansen section), network, Shinkansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinkansen
Context triple: [Hikari (on Sanyo Shinkansen section), network, Shinkansen]
  • A. Shinkansen chosen
    Shinkansen is Japan’s high-speed bullet train network, renowned for its punctuality, safety, and advanced rail technology.
  • B. Sanyo Shinkansen
    Sanyo Shinkansen is a high-speed railway line in Japan that connects Osaka with western Honshu cities such as Hiroshima and Fukuoka as part of the Shinkansen network.
  • C. Tokaido Shinkansen
    The Tokaido Shinkansen is Japan’s pioneering high-speed rail line connecting Tokyo with Osaka and other major cities, renowned for its speed, punctuality, and heavy passenger usage.
  • D. Akita Shinkansen
    The Akita Shinkansen is a Japanese high-speed "mini-shinkansen" rail line connecting Akita Prefecture with the Tōhoku Shinkansen network, providing fast intercity service to and from Tokyo.
  • E. Shinonsen
    Shinonsen is a town in northern Hyōgo Prefecture, Japan, known for its hot spring resorts and scenic coastal and mountainous landscapes.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d33ad50c8190982b00aab09098a1 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.