Triple
T22614825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanyo Electric Railway |
E566815
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Akashi |
—
|
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: Akashi | Statement: [Sanyo Electric Railway, regionServed, Akashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akashi Context triple: [Sanyo Electric Railway, regionServed, Akashi]
-
A.
Akashi
chosen
Akashi is a coastal city in western Japan known for its historic castle, views of the Akashi Kaikyō Strait, and its specialty dish akashiyaki.
-
B.
Akashi
Akashi was a Japanese warship that served in the Imperial Japanese Navy around the time of the Russo-Japanese War.
-
C.
Tenryū
Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
-
D.
Kanmon Kaikyo
Kanmon Kaikyo is the narrow sea channel separating Japan’s Honshu and Kyushu islands, serving as a vital maritime passage and transport link between the Sea of Japan and the Seto Inland Sea.
-
E.
Sagara
Sagara is a Bantu language of the Ruvu group spoken primarily in parts of Tanzania.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ecc7188190bf41fe2177d48e6c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:58 p.m.