Triple
T22139786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陸奥国 |
E547124
|
entity |
| Predicate | reorganizedInto |
P1504
|
FINISHED |
| Object | 陸前国 |
—
|
NE NERFINISHED |
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: 陸前国 | Statement: [陸奥国, reorganizedInto, 陸前国]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陸前国 Context triple: [陸奥国, reorganizedInto, 陸前国]
-
A.
陸前国
chosen
陸前国 was an old province of Japan located in the Tōhoku region, roughly corresponding to present-day Miyagi Prefecture and parts of Iwate Prefecture.
-
B.
越後国
越後国 was an old Japanese province located along the Sea of Japan in what is now Niigata Prefecture, historically known for its heavy snowfall, rice production, and important coastal and mountain trade routes.
-
C.
豊後国
豊後国 was an old Japanese province located in eastern Kyushu, roughly corresponding to present-day Ōita Prefecture.
-
D.
常陸国
常陸国は、現在の茨城県に相当し、古代から中世にかけて東国の要地として栄えた日本の旧国名である。
-
E.
Mutsu Province
Mutsu Province was a large and historically significant region in northeastern Honshu, Japan, that played a key role in early Japanese expansion and administration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bda1208190b851ae5c68b760e9 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.