Triple
T8346124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morioka |
E196039
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 盛岡市 |
E196039
|
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: 盛岡市 | Statement: [Morioka, hasJapaneseName, 盛岡市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 盛岡市 Context triple: [Morioka, hasJapaneseName, 盛岡市]
-
A.
Ichinoseki, Iwate
Ichinoseki, Iwate is a city in southern Iwate Prefecture, Japan, known as a regional hub with historical sites and access to scenic areas such as the Geibi Gorge.
-
B.
Morioka
chosen
Morioka is the capital city of Iwate Prefecture in Japan’s Tōhoku region, known for its historic castle site, surrounding mountains, and distinctive local noodle dishes.
-
C.
Yonezawa, Yamagata
Yonezawa, Yamagata is a city in Yamagata Prefecture, Japan, known for its historic castle town heritage, Yonezawa beef, and connections to the Uesugi samurai clan.
-
D.
Ishinomaki City
Ishinomaki City is a coastal city in northeastern Japan known for its fishing industry and for being one of the areas most severely affected by the 2011 Tōhoku earthquake and tsunami.
-
E.
Ōshū, Iwate
Ōshū, Iwate is a city in Iwate Prefecture, Japan, known for its historical sites, agricultural production, and scenic rural landscapes.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7feef7e8819084ca0441d146bac7 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc73ccfb481908d0d189362404e09 |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.