Triple

T12801622
Position Surface form Disambiguated ID Type / Status
Subject JR Tōkai E306031 entity
Predicate operatesService P5884 FINISHED
Object Hikari E306033 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: Hikari | Statement: [JR Tōkai, operatesService, Hikari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hikari
Context triple: [JR Tōkai, operatesService, Hikari]
  • A. Hikari chosen
    Hikari is a high-speed Shinkansen train service in Japan that operates on the Tokaido and Sanyo Shinkansen lines, offering fast intercity travel with fewer stops than local services.
  • B. Hikari
    Hikari is a Japanese given name commonly used for both males and females, meaning "light" in Japanese.
  • C. Hikari
    Hikari is a Wayland compositor for FreeBSD that focuses on simplicity, performance, and tiling window management, built on the wlroots library.
  • D. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • E. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7d3f5c8190bf01bef5d263ca26 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6851143588190b0980e760e030b0b completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.