Triple
T7978038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | なんばマルイ |
E185495
|
entity |
| Predicate | 都道府県 |
P39977
|
FINISHED |
| Object | 大阪府 |
E757
|
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: 大阪府 | Statement: [なんばマルイ, 都道府県, 大阪府]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大阪府 Context triple: [なんばマルイ, 都道府県, 大阪府]
-
A.
Osaka Prefecture
chosen
Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
-
B.
Wakayama Prefecture
Wakayama Prefecture is a coastal region in Japan’s Kansai area known for its sacred sites on the Kii Peninsula, including Mount Koya and the Kumano Kodo pilgrimage routes.
-
C.
Kyoto Prefecture
Kyoto Prefecture is a region in Japan’s Kansai area known for its historic capital city of Kyoto, famous temples, traditional culture, and well-preserved heritage sites.
-
D.
Nara Prefecture
Nara Prefecture is a landlocked region in Japan’s Kansai area known for its ancient temples, historic capital city of Nara, and free-roaming deer in Nara Park.
-
E.
Aichi Prefecture
Aichi Prefecture is a central Japanese prefecture on Honshu known for its capital Nagoya, major automotive industry centered around Toyota, and role as a key economic and transportation hub.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf84b1081908e60a556d984aad6 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5677968881908835169157244962 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:14 p.m.