Triple
T5571469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 本間雅晴 |
E146211
|
entity |
| Predicate | 出身地 |
P1
|
FINISHED |
| Object | 山形県 |
E250538
|
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: 山形県 | Statement: [本間雅晴, 出身地, 山形県]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 山形県 Context triple: [本間雅晴, 出身地, 山形県]
-
A.
Yamagata Prefecture
chosen
Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
-
B.
Aomori Prefecture
Aomori Prefecture is Japan’s northernmost prefecture on the main island of Honshu, known for its rugged natural landscapes, apple production, and the city of Aomori.
-
C.
Miyagi Prefecture
Miyagi Prefecture is a coastal region in Japan’s Tōhoku area, known for its capital city Sendai, scenic Matsushima Bay, and a mix of urban centers and rich natural landscapes.
-
D.
Iwate Prefecture
Iwate Prefecture is a largely rural, mountainous prefecture in Japan’s Tōhoku region, known for its rugged coastline, cultural heritage sites, and the city of Morioka as its capital.
-
E.
Tochigi Prefecture
Tochigi Prefecture is a landlocked region in Japan’s Kantō area known for the historic city of Nikkō, natural hot springs, and mountainous scenery.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284bb71881908c0ac4ea2a302327 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.