Triple
T10326091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iwate Prefecture |
E242765
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Morioka |
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: Morioka | Statement: [Iwate Prefecture, capital, Morioka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morioka Context triple: [Iwate Prefecture, capital, Morioka]
-
A.
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.
-
B.
Aomori City
Aomori City is a northern Japanese port city known for its Nebuta Matsuri summer festival and as a transportation hub facing Mutsu Bay.
-
C.
Natori City
Natori City is a coastal municipality in northeastern Japan known for its proximity to Sendai and its recovery efforts following the 2011 Tōhoku earthquake and tsunami.
-
D.
Hachinohe
Hachinohe is a coastal city in northern Japan known for its fishing industry, port facilities, and vibrant local seafood markets.
-
E.
Urayasu
Urayasu is a city in Chiba Prefecture, Japan, best known as the home of Tokyo Disney Resort and its associated entertainment and shopping complexes.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739644ed48190896d7b2b6c3b5f8f |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 6, 2026, 11:51 a.m.