Triple
T1724064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mie Prefecture |
E37456
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Owase |
E273075
|
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: Owase | Statement: [Mie Prefecture, contains, Owase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owase Context triple: [Mie Prefecture, contains, Owase]
-
A.
Owase
chosen
Owase is a coastal city in southern Mie Prefecture, Japan, known for its rugged ria coastline, abundant rainfall, and proximity to the Kumano Kodo pilgrimage routes.
-
B.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Otachi
Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635a5c8c8190b3fbf977a93838fd |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f83bf9248190821580e4d1e76e4d |
completed | March 11, 2026, 11:18 p.m. |
Created at: March 4, 2026, 7:30 p.m.