Triple
T11221105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōu Main Line |
E265563
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Yamagata |
E148831
|
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: Yamagata | Statement: [Ōu Main Line, connectsCity, Yamagata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamagata Context triple: [Ōu Main Line, connectsCity, Yamagata]
-
A.
Yamagata
chosen
Yamagata is a city in northern Japan that serves as the capital of Yamagata Prefecture, known for its hot springs, winter sports, and cherry production.
-
B.
Yonezawa
Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
-
C.
Inazawa
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
-
D.
Ōshū
Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
-
E.
Nihonmatsu
Nihonmatsu is a historic city in northeastern Japan known for its castle ruins, traditional festivals, and scenic views of nearby Mount Adatara.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0513f88190b2405ffc32f1e9c7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 8, 2026, 9:30 p.m.