Triple
T12801866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N700S series |
E306036
|
entity |
| Predicate | usedFor |
P98
|
FINISHED |
| Object | Hikari services |
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 services | Statement: [N700S series, usedFor, Hikari services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikari services Context triple: [N700S series, usedFor, Hikari services]
-
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 Wayland compositor for FreeBSD that focuses on simplicity, performance, and tiling window management, built on the wlroots library.
-
C.
Hikari
Hikari is a Japanese given name commonly used for both males and females, meaning "light" in Japanese.
-
D.
Keystone Service
Keystone Service is an Amtrak-operated passenger rail service in Pennsylvania that provides frequent regional connections, primarily between Harrisburg and New York City via Philadelphia.
-
E.
KService
KService is a KDE Frameworks library that provides an API for describing, querying, and loading services and plugins within the KDE software environment.
- 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.