Triple
T13193799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 300 series Shinkansen |
E314058
|
entity |
| Predicate | serviceType |
P87
|
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: [300 series Shinkansen, serviceType, Hikari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikari Context triple: [300 series Shinkansen, serviceType, 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c6158e4819082c8ad75b4dfdd90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f600f7a08190bcdd80d5563517c3 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.