Triple
T13629457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arita |
E325675
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object | Sasebo Line |
—
|
NE NERFINISHED |
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: Sasebo Line | Statement: [Arita, railwayLine, Sasebo Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasebo Line Context triple: [Arita, railwayLine, Sasebo Line]
-
A.
Sasebo Line
chosen
The Sasebo Line is a regional railway route in Japan’s Kyushu region connecting key cities and towns in Nagasaki and Saga Prefectures.
-
B.
Kaigan Line
The Kaigan Line is a subway line in Kobe, Japan, forming part of the Kobe Municipal Subway network and serving coastal and central urban areas.
-
C.
Nichinan Line
The Nichinan Line is a coastal railway route in Miyazaki Prefecture, Japan, known for its scenic views of the Pacific Ocean and service to local communities and tourist destinations.
-
D.
Karatsu Line
The Karatsu Line is a regional railway route in Saga Prefecture, Japan, connecting inland areas with the coastal city of Karatsu.
-
E.
Takashinohama Line
The Takashinohama Line is a short commuter railway line in Osaka Prefecture, Japan, operated by Nankai Electric Railway and serving local passenger traffic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.