Triple
T17821679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 千歳市 |
E444999
|
entity |
| Predicate | 所在高速道路 |
P129030
|
FINISHED |
| Object | 道央自動車道 |
—
|
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: 道央自動車道 | Statement: [千歳市, 所在高速道路, 道央自動車道]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 道央自動車道 Context triple: [千歳市, 所在高速道路, 道央自動車道]
-
A.
道央自動車道
chosen
道央自動車道 is a major expressway in Hokkaido, Japan, forming the core north–south highway route that connects key cities and regions across the island.
-
B.
常磐自動車道
常磐自動車道 is a major expressway in Japan that runs along the Pacific side of the Tōhoku region, connecting the Tokyo area with Ibaraki, Fukushima, and Miyagi Prefectures.
-
C.
東海北陸自動車道
東海北陸自動車道 is a major Japanese expressway that links the Tōkai and Hokuriku regions, running primarily through central Honshu and serving as an important north–south transportation corridor.
-
D.
中国自動車道
中国自動車道は、本州西部の中国地方を東西に横断し、大阪方面と山口県・九州方面を結ぶ日本の主要高速自動車国道である。
-
E.
Aomori Expressway
The Aomori Expressway is a regional expressway in Aomori Prefecture, Japan, that connects local routes to the national expressway network.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48911b660819097fc7ea94665a02a |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.